example_id int64 0 10k | metadata stringlengths 679 723 | classification_prompt stringlengths 4.51k 10.9k | classification_completion stringclasses 14
values | classification_text stringlengths 4.52k 11k | improved_signature stringlengths 2.44k 4.91k | improved_model_weights stringlengths 1.76k 5.03k | training_metrics stringlengths 1.46k 2.92k |
|---|---|---|---|---|---|---|---|
200 | {"target_pattern": "palindrome", "degraded_accuracy": 0.64, "improved_accuracy": 0.9, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1602, "learning_rate": 0.022265797932493968, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.422518,
-0.4455,
-0.011849,
0.440425,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.422518,
-0.4455,
-0.011849,
0.440425,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.474741624680586, 31.725114651129804, 78.78335586190224]}, "1": {"fourier": [19.144875744551054, 19.87927075412057, 73.47845680639148]}, "2": {"fourier": [25.67799059681396, 27.63904831707446, 118.1599083840847]}, "3": {"fourier": [17.231188597811443... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.422518, -0.4455, -0.011849, 0.440425, 0.492], [-0.148667, -0.37598... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7128805220127106, "train_acc": 0.45, "val_loss": 0.7059104442596436, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6964196562767029, "train_acc": 0.49, "val_loss": 0.6687164306640625, "val... |
201 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4541, "learning_rate": 0.056607... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.394483,
0.750774,
0.137026,
-0.451047,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.394483,
0.750774,
0.137026,
-0.451047,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.51541730030031, 38.40780364586035, 203.56547942757607]}, "1": {"fourier": [27.422079697092936, 27.680082499871357, 149.31818941049278]}, "2": {"fourier": [34.094397237410305, 38.24069432380407, 50.29356229305267]}, "3": {"fourier": [27.3489080794087... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.394483, 0.750774, 0.137026, -0.451047, 0.294439], [-0.290359, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6954028308391571, "train_acc": 0.54, "val_loss": 0.6879783868789673, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6776669919490814, "train_acc": 0.555, "val_loss": 0.6525812745094299, "va... |
202 | {"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3673, "learning_rate": 0.09982321313561107, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.726724,
-0.992296,
-0.312986,
-0.772223... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.726724,
-0.992296,
-0.312986,
-0.772223... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [76.14779151010183, 82.78200867435625, 631.9875793457031]}, "1": {"fourier": [28.966836797632247, 28.981573449490273, 210.9097252190113]}, "2": {"fourier": [58.10121948109531, 65.12898187983538, 194.69473272562027]}, "3": {"fourier": [61.4037898412888, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.726724, -0.992296, -0.312986, -0.772223, -0.62903], [0.056288, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6999837458133698, "train_acc": 0.435, "val_loss": 0.7106387615203857, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.678899884223938, "train_acc": 0.58, "val_loss": 0.6413119435310364, "val... |
203 | {"target_pattern": "ends_with", "degraded_accuracy": 0.6, "improved_accuracy": 0.86, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5486, "learning_rate": 0.09143691368444107, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.127777,
0.511608,
0.601532,
0.216053,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.127777,
0.511608,
0.601532,
0.216053,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [50.77403103703732, 53.36563450428634, 72.54835905134678]}, "1": {"fourier": [43.81106026131621, 58.5970575636077, 90.47541531920433]}, "2": {"fourier": [61.04146300130018, 71.90278896704677, 340.6510274037719]}, "3": {"fourier": [39.23319058896825, 43.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.127777, 0.511608, 0.601532, 0.216053, -1.415551], [-0.356531, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7070909142494202, "train_acc": 0.45, "val_loss": 0.6663975715637207, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6929024457931519, "train_acc": 0.55, "val_loss": 0.6288368701934814, "val_... |
204 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6829, "learning_rate": 0.022168260... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.6671,
0.524121,
0.241771,
-0.282105,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.6671,
0.524121,
0.241771,
-0.282105,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [36.18497658949166, 38.96477543922674, 160.69691924005747]}, "1": {"fourier": [17.754926849278984, 24.14040204514442, 33.77750641107559]}, "2": {"fourier": [31.219298890465815, 32.397466920327126, 173.3131378889084]}, "3": {"fourier": [17.63960378831447... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.6671, 0.524121, 0.241771, -0.282105, 0.04262], [-0.049733, 0.41855... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6857546269893646, "train_acc": 0.57, "val_loss": 0.6879743337631226, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6590856611728668, "train_acc": 0.57, "val_loss": 0.6646124124526978, "val... |
205 | {"target_pattern": "alternating", "degraded_accuracy": 0.58, "improved_accuracy": 1.0, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3148, "learning_rate": 0.02406851285... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.645017,
-0.231025,
0.17214,
0.179374,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.645017,
-0.231025,
0.17214,
0.179374,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.85170576373641, 26.01411118006059, 28.586790746355703]}, "1": {"fourier": [21.090356220181164, 21.112131676270245, 23.84800242010597]}, "2": {"fourier": [30.58931177742192, 33.90032228999113, 182.61494490504265]}, "3": {"fourier": [24.13143169590488... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.645017, -0.231025, 0.17214, 0.179374, 0.412596], [-0.430767, 0.33... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876731216907501, "train_acc": 0.54, "val_loss": 0.6616448760032654, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6604655981063843, "train_acc": 0.54, "val_loss": 0.6290087699890137, "val... |
206 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.86, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9257, "learning_rate": 0.08390830298690209, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.961979,
-0.205058,
-0.089872,
-0.156182,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.961979,
-0.205058,
-0.089872,
-0.156182,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [47.95318831292561, 62.637532459368266, 135.57481564581394]}, "1": {"fourier": [51.89295831134182, 64.0108124284809, 132.5401934981346]}, "2": {"fourier": [16.739960458834886, 18.872813680771525, 127.91346342861652]}, "3": {"fourier": [36.98940075050605... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.961979, -0.205058, -0.089872, -0.156182, 0.89175], [1.136005, -0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6995896697044373, "train_acc": 0.455, "val_loss": 0.7009745836257935, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6642309725284576, "train_acc": 0.575, "val_loss": 0.67861008644104, "val_... |
207 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3353, "learning_rate": 0.037326696... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.583175,
-0.305829,
0.058199,
-0.219158,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.583175,
-0.305829,
0.058199,
-0.219158,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.726838582650114, 31.724092200398445, 32.91266135952978]}, "1": {"fourier": [38.26077054517135, 39.39619580471148, 44.540408904060676]}, "2": {"fourier": [40.29830175604337, 45.73765048206213, 184.91313967853785]}, "3": {"fourier": [34.72643493548204... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.583175, -0.305829, 0.058199, -0.219158, 0.14828], [-1.128952, 0.19... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.691352128982544, "train_acc": 0.565, "val_loss": 0.6886999607086182, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6793949604034424, "train_acc": 0.565, "val_loss": 0.6830806136131287, "va... |
208 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.52, "improved_accuracy": 0.9, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4033, "learning_rate": 0.03611564017559221, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.124662,
0.041263,
-0.419326,
-0.11404,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.124662,
0.041263,
-0.419326,
-0.11404,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [13.458543075154198, 13.571330907501382, 76.34970613569021]}, "1": {"fourier": [54.62109955443723, 56.0891996283728, 375.4424900263548]}, "2": {"fourier": [26.98515601817525, 29.789842781483497, 162.56781405210495]}, "3": {"fourier": [31.55173030542314,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.124662, 0.041263, -0.419326, -0.11404, 0.140467], [0.84531, 0.4970... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7424656748771667, "train_acc": 0.435, "val_loss": 0.7095987200737, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7201348841190338, "train_acc": 0.435, "val_loss": 0.6991967558860779, "val_... |
209 | {"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2465, "learning_rate": 0.02004110510274515, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.129013,
-0.012592,
0.478942,
0.212814,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.129013,
-0.012592,
0.478942,
0.212814,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.437907376332777, 32.2865757284533, 34.87992337346077]}, "1": {"fourier": [38.01007373779411, 38.252295194105166, 169.0338565260172]}, "2": {"fourier": [19.04850130047855, 19.608493829167916, 22.426195295179095]}, "3": {"fourier": [34.69720624832768,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.129013, -0.012592, 0.478942, 0.212814, -0.79597], [0.182296, 0.21... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6757409274578094, "train_acc": 0.59, "val_loss": 0.6983697414398193, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6701407730579376, "train_acc": 0.59, "val_loss": 0.6810341477394104, "val... |
210 | {"target_pattern": "ends_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4211, "learning_rate": 0.028374230995377545, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.464382,
0.211493,
0.110651,
0.139514,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.464382,
0.211493,
0.110651,
0.139514,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.4293742867791, 24.920514941224738, 115.02503007650375]}, "1": {"fourier": [37.62128406924971, 41.87528212031756, 259.1679512113333]}, "2": {"fourier": [35.44863820593242, 41.97982720285654, 43.03927935043793]}, "3": {"fourier": [23.927593221350676, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.464382, 0.211493, 0.110651, 0.139514, 0.531907], [-0.295713, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6793150305747986, "train_acc": 0.59, "val_loss": 0.7096326351165771, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6750993132591248, "train_acc": 0.59, "val_loss": 0.7117759585380554, "val... |
211 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8277, "learning_rate": 0.024376554321... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.77937,
0.197801,
0.072712,
0.06927,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.77937,
0.197801,
0.072712,
0.06927,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [35.8520970273815, 36.644030310986224, 49.13437503576279]}, "1": {"fourier": [39.416266445304416, 50.160345091787796, 131.13995845615864]}, "2": {"fourier": [26.622581652039223, 28.27027683512099, 217.82133884727955]}, "3": {"fourier": [13.1939813278367... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.77937, 0.197801, 0.072712, 0.06927, -0.792864], [0.925071, -0.4497... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6757055222988129, "train_acc": 0.585, "val_loss": 0.7043598890304565, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6735892593860626, "train_acc": 0.585, "val_loss": 0.7005941867828369, "va... |
212 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.36, "improved_accuracy": 0.96, "improvement": 0.6, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8682, "learning_rate": 0.06610596912797752, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.239796,
-0.259704,
0.241971,
-0.208665,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.239796,
-0.259704,
0.241971,
-0.208665,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.123270168768432, 19.329884526779605, 28.469371616532]}, "1": {"fourier": [32.54989454371367, 36.69393628268712, 77.91120892763138]}, "2": {"fourier": [31.2334797176434, 35.19790627427618, 287.63952404260635]}, "3": {"fourier": [55.20894360262446, 57... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.239796, -0.259704, 0.241971, -0.208665, 0.374657], [-0.661414, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809548735618591, "train_acc": 0.61, "val_loss": 0.7673699855804443, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6060517430305481, "train_acc": 0.61, "val_loss": 0.6133625507354736, "val... |
213 | {"target_pattern": "alternating", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9534, "learning_rate": 0.0300167641... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.651594,
0.357481,
-0.667509,
0.025357,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.651594,
0.357481,
-0.667509,
0.025357,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.07694703834513, 31.536375621985712, 33.27159242291245]}, "1": {"fourier": [25.029676457783733, 31.22767027597673, 37.75057878345251]}, "2": {"fourier": [25.786925997270426, 26.485254034609536, 35.92870596051216]}, "3": {"fourier": [21.98620668488336... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.651594, 0.357481, -0.667509, 0.025357, -0.011856], [0.508259, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7260640263557434, "train_acc": 0.445, "val_loss": 0.7248378992080688, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6561794281005859, "train_acc": 0.585, "val_loss": 0.7946332693099976, "v... |
214 | {"target_pattern": "has_majority", "degraded_accuracy": 0.6, "improved_accuracy": 0.84, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6583, "learning_rate": 0.031235498013335028, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.142828,
0.255674,
0.187427,
-0.500021,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.142828,
0.255674,
0.187427,
-0.500021,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.10853848633084, 22.508510212456102, 23.172934517264366]}, "1": {"fourier": [24.974943093547914, 26.470619860345675, 48.02686804533005]}, "2": {"fourier": [23.20587492574363, 29.68139072327852, 95.94993207603693]}, "3": {"fourier": [24.31917022708054... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.142828, 0.255674, 0.187427, -0.500021, 0.301715], [0.079908, 0.38... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6817867755889893, "train_acc": 0.58, "val_loss": 0.7171780467033386, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6839329302310944, "train_acc": 0.58, "val_loss": 0.7240961194038391, "val... |
215 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.4, "improved_accuracy": 0.84, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8806, "learning_rate": 0.081051772807... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.15111,
0.082419,
0.651178,
0.144848,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.15111,
0.082419,
0.651178,
0.144848,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [42.57704722577024, 45.672996676467044, 53.1385218501091]}, "1": {"fourier": [77.84538400758531, 78.06897932060546, 374.0635148882866]}, "2": {"fourier": [57.299267849093155, 62.299579389091406, 120.10469426214695]}, "3": {"fourier": [48.33948317653522,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.15111, 0.082419, 0.651178, 0.144848, 0.370908], [1.55881, 1.02181... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7025249600410461, "train_acc": 0.46, "val_loss": 0.8066275119781494, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6793710589408875, "train_acc": 0.59, "val_loss": 0.7188785076141357, "val_... |
216 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.38, "improved_accuracy": 0.9, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9604, "learning_rate": 0.05612756743390501, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.119596,
-0.068875,
-0.164523,
-0.177249... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.119596,
-0.068875,
-0.164523,
-0.177249... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.33610424279764, 28.142606360826985, 178.98386359214783]}, "1": {"fourier": [35.42871134748394, 42.35161052807951, 44.6072668582201]}, "2": {"fourier": [32.079807980381155, 34.859400008895896, 206.35714243352413]}, "3": {"fourier": [37.08905031382767... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.119596, -0.068875, -0.164523, -0.177249, -0.537267], [-0.81736, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6831960082054138, "train_acc": 0.6, "val_loss": 0.766354501247406, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6912175714969635, "train_acc": 0.6, "val_loss": 0.7693939208984375, "val_ac... |
217 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.58, "improved_accuracy": 0.9, "improvement": 0.32000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3646, "learning_rate": 0.022885... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.19444,
0.419896,
-0.184369,
0.326163,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.19444,
0.419896,
-0.184369,
0.326163,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.972588242508735, 29.414526665685052, 107.78067484498024]}, "1": {"fourier": [27.77736487083008, 31.9647558735497, 200.0309122055769]}, "2": {"fourier": [23.30846015408241, 27.436730055631383, 92.77641516923904]}, "3": {"fourier": [29.104475557290865... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.19444, 0.419896, -0.184369, 0.326163, -0.203331], [0.155466, 0.478... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7142086327075958, "train_acc": 0.445, "val_loss": 0.7077671885490417, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7015399932861328, "train_acc": 0.445, "val_loss": 0.6949025988578796, "v... |
218 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.92, "improvement": 0.44000000000000006, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6295, "learning_rate": 0.0368... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.064759,
-0.266299,
-0.086767,
-0.189602... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.064759,
-0.266299,
-0.086767,
-0.189602... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.90137392607827, 21.697097107173615, 30.955593541264534]}, "1": {"fourier": [18.664040051357222, 20.479708271509374, 80.94927071779966]}, "2": {"fourier": [17.254900260249272, 20.585197687149048, 20.586241745686383]}, "3": {"fourier": [28.35895578545... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.064759, -0.266299, -0.086767, -0.189602, 0.476038], [0.266794, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6930536925792694, "train_acc": 0.57, "val_loss": 0.6957569718360901, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6744201183319092, "train_acc": 0.57, "val_loss": 0.6786289215087891, "val_... |
219 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.48, "improved_accuracy": 1.0, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8183, "learning_rate": 0.04597520331840239, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.887884,
0.752383,
-0.076624,
0.397775,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.887884,
0.752383,
-0.076624,
0.397775,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [49.80689240297955, 55.5372255042119, 307.2553380727768]}, "1": {"fourier": [36.4792247924267, 44.30649911314604, 62.91248135268688]}, "2": {"fourier": [38.847031163602644, 39.71411830128442, 310.05601367354393]}, "3": {"fourier": [21.632469295501224, 2... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.887884, 0.752383, -0.076624, 0.397775, -0.339799], [0.256683, 0.46... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6913101673126221, "train_acc": 0.575, "val_loss": 0.7039552330970764, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6820180714130402, "train_acc": 0.575, "val_loss": 0.6816986799240112, "v... |
220 | {"target_pattern": "has_majority", "degraded_accuracy": 0.58, "improved_accuracy": 0.8, "improvement": 0.22000000000000008, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1219, "learning_rate": 0.0533292826... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.094662,
0.603081,
-0.532722,
-0.830413,... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.094662,
0.603081,
-0.532722,
-0.830413,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [32.193302104743026, 39.728982190337774, 106.46869772672653]}, "1": {"fourier": [23.55377218633867, 35.35526130274155, 130.9860748499632]}, "2": {"fourier": [19.354813475851213, 20.908558567396877, 101.81979747861624]}, "3": {"fourier": [21.356159793083... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.094662, 0.603081, -0.532722, -0.830413, 0.328924], [-0.198182, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.677225649356842, "train_acc": 0.585, "val_loss": 0.6658805012702942, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6572411954402924, "train_acc": 0.62, "val_loss": 0.6644496321678162, "val_... |
221 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6195, "learning_rate": 0.07327... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.24129,
-0.521674,
-0.405034,
0.005044,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.24129,
-0.521674,
-0.405034,
0.005044,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.090857485236928, 26.298141597011437, 82.4028648212552]}, "1": {"fourier": [27.905096198987767, 28.03456196113735, 176.4176192432642]}, "2": {"fourier": [30.497477648776567, 33.523854497228, 114.7499318420887]}, "3": {"fourier": [34.685750946896015, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.24129, -0.521674, -0.405034, 0.005044, 0.469723], [-0.361545, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7091429829597473, "train_acc": 0.45, "val_loss": 0.6828758120536804, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6726882755756378, "train_acc": 0.57, "val_loss": 0.5881233215332031, "val... |
222 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3023, "learning_rate": 0.09781995364... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.655154,
-0.369334,
-0.291145,
-0.020817,... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.655154,
-0.369334,
-0.291145,
-0.020817,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.78091106837933, 29.39365133284378, 57.645121932029724]}, "1": {"fourier": [63.39846049706227, 70.40361570535883, 100.25774582475424]}, "2": {"fourier": [57.57155883483809, 64.01045041737255, 68.29599599844234]}, "3": {"fourier": [20.400221909517317,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.655154, -0.369334, -0.291145, -0.020817, 0.060173], [1.597678, 0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910825371742249, "train_acc": 0.51, "val_loss": 0.6875702738761902, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6448884308338165, "train_acc": 0.57, "val_loss": 0.5929508209228516, "val... |
223 | {"target_pattern": "palindrome", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3923, "learning_rate": 0.0575589940374877, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.538408,
-0.04478,
-0.219446,
-0.239091,... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.538408,
-0.04478,
-0.219446,
-0.239091,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.358618764762276, 27.495765611283375, 144.86645612120628]}, "1": {"fourier": [28.524170356648646, 30.83348475730643, 222.91071346402168]}, "2": {"fourier": [32.70448056657492, 34.047037576617626, 136.40396729111671]}, "3": {"fourier": [17.40949405052... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.538408, -0.04478, -0.219446, -0.239091, 0.259995], [-0.003622, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7243840992450714, "train_acc": 0.435, "val_loss": 0.6935688853263855, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6818749010562897, "train_acc": 0.535, "val_loss": 0.6840384602546692, "v... |
224 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.86, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4496, "learning_rate": 0.021019725897398877, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.600863,
-0.040821,
0.32989,
0.037592,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.600863,
-0.040821,
0.32989,
0.037592,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.136368992034196, 31.116746148441585, 114.18131421506405]}, "1": {"fourier": [27.764135172168274, 27.960730463440473, 101.25128129124641]}, "2": {"fourier": [25.020042448422355, 28.811217121105013, 162.7751982882619]}, "3": {"fourier": [20.1650032603... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.600863, -0.040821, 0.32989, 0.037592, -0.308331], [-0.133664, 0.65... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6966432631015778, "train_acc": 0.475, "val_loss": 0.6949471235275269, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6662004590034485, "train_acc": 0.575, "val_loss": 0.7120976448059082, "v... |
225 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.68, "improved_accuracy": 0.88, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4213, "learning_rate": 0.09463616474... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.048035,
-0.219216,
-0.317067,
0.150566,... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.048035,
-0.219216,
-0.317067,
0.150566,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.34905777966872, 20.193188223480405, 80.50030095875263]}, "1": {"fourier": [27.551744768216942, 28.001667691528294, 58.27729520201683]}, "2": {"fourier": [47.36851362208087, 47.45260704465537, 274.8940794840455]}, "3": {"fourier": [44.979462903302256... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.048035, -0.219216, -0.317067, 0.150566, -0.021068], [-0.734751, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7015634179115295, "train_acc": 0.53, "val_loss": 0.7046130299568176, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6671166121959686, "train_acc": 0.58, "val_loss": 0.5766381621360779, "val... |
226 | {"target_pattern": "has_majority", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1018, "learning_rate": 0.046300564... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.353171,
0.315535,
0.430155,
0.420972,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.353171,
0.315535,
0.430155,
0.420972,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.72697591995632, 24.862875810546406, 177.45045088231564]}, "1": {"fourier": [37.974988020932955, 48.17416923086729, 171.5322600901127]}, "2": {"fourier": [17.61431603976275, 22.751116952453245, 60.138075813651085]}, "3": {"fourier": [29.3057945907819... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.353171, 0.315535, 0.430155, 0.420972, -0.042852], [-0.290475, 0.7... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7139370143413544, "train_acc": 0.44, "val_loss": 0.6876661777496338, "val_acc": 0.66}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.68510901927948, "train_acc": 0.6, "val_loss": 0.6653076410293579, "val_ac... |
227 | {"target_pattern": "starts_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.74, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1261, "learning_rate": 0.0202873999... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.096529,
0.189717,
0.127878,
0.082846,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.096529,
0.189717,
0.127878,
0.082846,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [15.056579972665052, 15.17470220444633, 32.31964064389467]}, "1": {"fourier": [39.065868488698044, 39.99423582394768, 177.61924439668655]}, "2": {"fourier": [14.28058725405704, 18.946328539548205, 52.05908988416195]}, "3": {"fourier": [33.27980698856344... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.096529, 0.189717, 0.127878, 0.082846, -0.395381], [0.889406, 0.374... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7079374194145203, "train_acc": 0.44, "val_loss": 0.7004430294036865, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6961131393909454, "train_acc": 0.44, "val_loss": 0.6872899532318115, "val... |
228 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2867, "learning_rate": 0.056709726179... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.597487,
0.377364,
0.348143,
-0.456633,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.597487,
0.377364,
0.348143,
-0.456633,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [32.667541999799724, 37.204243425600936, 103.91868172585964]}, "1": {"fourier": [32.12138118866177, 38.40391561417207, 151.97427289187908]}, "2": {"fourier": [48.330252311046095, 54.90787789225578, 70.51333007222235]}, "3": {"fourier": [23.5395787323927... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.597487, 0.377364, 0.348143, -0.456633, -0.626523], [0.228849, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6889231204986572, "train_acc": 0.57, "val_loss": 0.672431230545044, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6619022190570831, "train_acc": 0.565, "val_loss": 0.6018905639648438, "val... |
229 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.74, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4918, "learning_rate": 0.091703869689... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.127227,
-0.571551,
-0.314707,
-0.006754... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.127227,
-0.571551,
-0.314707,
-0.006754... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.70130784063942, 29.100758919542123, 186.14357877522707]}, "1": {"fourier": [27.51411189366217, 27.965326487946335, 31.527153551373555]}, "2": {"fourier": [27.769778796046758, 28.535128061923125, 62.481905706226826]}, "3": {"fourier": [15.25453313564... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.127227, -0.571551, -0.314707, -0.006754, -0.145962], [-0.182815, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6834434568881989, "train_acc": 0.57, "val_loss": 0.6946991086006165, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6414547562599182, "train_acc": 0.57, "val_loss": 0.5975951552391052, "val... |
230 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9684, "learning_rate": 0.05975... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.154563,
-1.163201,
-0.343673,
0.336396,... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.154563,
-1.163201,
-0.343673,
0.336396,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [45.03650551575982, 46.163838601791845, 105.85731202363968]}, "1": {"fourier": [50.276199822764504, 54.340493583959294, 122.57926145195961]}, "2": {"fourier": [55.63856871944819, 58.72654476849924, 326.433731764555]}, "3": {"fourier": [43.34634103087676... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.154563, -1.163201, -0.343673, 0.336396, 0.445021], [-0.944231, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7382428646087646, "train_acc": 0.435, "val_loss": 0.7018881440162659, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6998574137687683, "train_acc": 0.435, "val_loss": 0.6561681628227234, "v... |
231 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.9, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7957, "learning_rate": 0.03533255107717665, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.768521,
0.368446,
0.359108,
0.154542,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.768521,
0.368446,
0.359108,
0.154542,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [39.12868561343725, 41.06052169014356, 226.75752538442612]}, "1": {"fourier": [29.37751231324325, 34.14598766929817, 110.43076471984386]}, "2": {"fourier": [32.098937673527516, 32.25750201018618, 124.05542366206646]}, "3": {"fourier": [33.16770388727323... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.768521, 0.368446, 0.359108, 0.154542, -0.231643], [0.496554, 0.066... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.70905601978302, "train_acc": 0.445, "val_loss": 0.6937954425811768, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6829107403755188, "train_acc": 0.575, "val_loss": 0.6596118211746216, "val... |
232 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.56, "improved_accuracy": 0.78, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8310, "learning_rate": 0.07285... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.609096,
-0.015786,
-0.032628,
-0.441272,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.609096,
-0.015786,
-0.032628,
-0.441272,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [40.815439397832634, 47.029006741811365, 76.27982518076897]}, "1": {"fourier": [31.108902234856046, 38.54424123798056, 258.4437385648489]}, "2": {"fourier": [30.84348124983314, 32.228177491958675, 103.68777893483639]}, "3": {"fourier": [36.9038112266907... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.609096, -0.015786, -0.032628, -0.441272, 0.823084], [-0.416702, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6956146955490112, "train_acc": 0.455, "val_loss": 0.6592039465904236, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6395301222801208, "train_acc": 0.555, "val_loss": 0.576270341873169, "va... |
233 | {"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.74, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7386, "learning_rate": 0.07759988338920634, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.43247,
-0.146412,
0.271994,
0.496058,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.43247,
-0.146412,
0.271994,
0.496058,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [59.02085940434479, 62.84244552439115, 106.56029838323593]}, "1": {"fourier": [29.76448032462307, 30.22138819177235, 145.02375955320895]}, "2": {"fourier": [46.48680919076462, 47.98799365755367, 336.5347957611084]}, "3": {"fourier": [37.14840364072321, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.43247, -0.146412, 0.271994, 0.496058, 0.983919], [0.249539, -0.30... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6980147361755371, "train_acc": 0.55, "val_loss": 0.6959248185157776, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.66963991522789, "train_acc": 0.55, "val_loss": 0.6207956075668335, "val_ac... |
234 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.78, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9467, "learning_rate": 0.05611745323097926, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.037768,
0.006877,
-0.041499,
-0.061695,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.037768,
0.006877,
-0.041499,
-0.061695,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.908146152540322, 28.418432278280402, 99.02722972631454]}, "1": {"fourier": [34.55688533941439, 36.00178543413935, 117.84078696370125]}, "2": {"fourier": [33.18997701232662, 36.40159817933, 221.31699645519257]}, "3": {"fourier": [38.29927484215534, 3... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.037768, 0.006877, -0.041499, -0.061695, 0.679681], [-0.166073, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6897740960121155, "train_acc": 0.475, "val_loss": 0.6839264035224915, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.668619841337204, "train_acc": 0.565, "val_loss": 0.6551151871681213, "va... |
235 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.86, "improvement": 0.42, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4555, "learning_rate": 0.07493563642091583, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.592796,
0.211822,
-0.128914,
0.1783,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.592796,
0.211822,
-0.128914,
0.1783,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [43.35699443925291, 45.131061232920864, 159.30382059514523]}, "1": {"fourier": [23.899208366123858, 26.59916627368596, 66.98146572709084]}, "2": {"fourier": [33.53115292162355, 40.319430741709056, 168.96646201610565]}, "3": {"fourier": [28.0310404601878... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.592796, 0.211822, -0.128914, 0.1783, 0.784324], [-0.201407, 0.4332... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689752995967865, "train_acc": 0.545, "val_loss": 0.690361499786377, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6150455176830292, "train_acc": 0.58, "val_loss": 0.6178766489028931, "val_... |
236 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.4, "improved_accuracy": 0.92, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3183, "learning_rate": 0.036676535855649145, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.55732,
0.626353,
-0.444243,
0.457411,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.55732,
0.626353,
-0.444243,
0.457411,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [43.128181064315775, 51.494847891426254, 137.40215384960175]}, "1": {"fourier": [43.3783039176839, 48.58363847910025, 87.38335287570953]}, "2": {"fourier": [31.602577215265875, 32.96901832709868, 108.96254429221153]}, "3": {"fourier": [19.88860489151155... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.55732, 0.626353, -0.444243, 0.457411, -0.363433], [0.914533, 0.048... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.697848379611969, "train_acc": 0.505, "val_loss": 0.6955541968345642, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6575530469417572, "train_acc": 0.59, "val_loss": 0.7136748433113098, "val_... |
237 | {"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.76, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9074, "learning_rate": 0.0999095136332923, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.132442,
0.082063,
0.340546,
0.402484,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.132442,
0.082063,
0.340546,
0.402484,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [47.573665211207874, 50.47518095295734, 149.21356636285782]}, "1": {"fourier": [54.53050806828878, 58.25420702379096, 379.6957918703556]}, "2": {"fourier": [23.623986028268405, 26.08180864175702, 84.55365049466491]}, "3": {"fourier": [37.28741722862815,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.132442, 0.082063, 0.340546, 0.402484, 0.907174], [0.775018, 0.630... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6905492544174194, "train_acc": 0.465, "val_loss": 0.7217980027198792, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6732184588909149, "train_acc": 0.605, "val_loss": 0.7030490040779114, "va... |
238 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.82, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9676, "learning_rate": 0.08810901308... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.077655,
-0.548488,
0.144562,
0.030392,
... | no_repeats | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.077655,
-0.548488,
0.144562,
0.030392,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [39.91961557168019, 50.95476964311555, 88.70343886315823]}, "1": {"fourier": [39.028036855557595, 43.671572795542914, 280.9861239492893]}, "2": {"fourier": [37.20907629991123, 49.927352037003544, 75.66805192828178]}, "3": {"fourier": [48.81513796723513,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.077655, -0.548488, 0.144562, 0.030392, -0.105352], [-0.531407, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7389497458934784, "train_acc": 0.44, "val_loss": 0.6940471529960632, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6954951286315918, "train_acc": 0.47, "val_loss": 0.7004778981208801, "val... |
239 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.84, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3100, "learning_rate": 0.07554... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.630832,
-0.222714,
0.588042,
-0.394686,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.630832,
-0.222714,
0.588042,
-0.394686,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [38.985324938229496, 43.05449944548294, 107.92457246780396]}, "1": {"fourier": [31.355194895251252, 35.67062493225297, 59.75708231329918]}, "2": {"fourier": [28.218406902376167, 34.388939742051974, 261.7299134731293]}, "3": {"fourier": [55.3768837622004... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.630832, -0.222714, 0.588042, -0.394686, -0.06821], [0.65322, 0.405... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6878432333469391, "train_acc": 0.56, "val_loss": 0.6904676556587219, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6846267580986023, "train_acc": 0.56, "val_loss": 0.6867067217826843, "val... |
240 | {"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 0.92, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9178, "learning_rate": 0.08836061769424453, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.559105,
0.250002,
0.262474,
0.882179,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.559105,
0.250002,
0.262474,
0.882179,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [36.88733592439518, 39.014252541987375, 238.36731016635895]}, "1": {"fourier": [45.32021792731014, 45.91479266023423, 289.98778000473976]}, "2": {"fourier": [53.6015015544409, 67.0844332789736, 168.48921957612038]}, "3": {"fourier": [27.747372368837745,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.559105, 0.250002, 0.262474, 0.882179, 0.119751], [0.008384, 0.159... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912819743156433, "train_acc": 0.525, "val_loss": 0.6947704553604126, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6950716078281403, "train_acc": 0.555, "val_loss": 0.6757758259773254, "v... |
241 | {"target_pattern": "ends_with", "degraded_accuracy": 0.68, "improved_accuracy": 0.9, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8732, "learning_rate": 0.0453343381423... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.378358,
0.070111,
0.146805,
-0.291518,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.378358,
0.070111,
0.146805,
-0.291518,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.332075065171146, 33.74122711169801, 93.15619781985879]}, "1": {"fourier": [36.87300859398155, 43.80206475679923, 209.14103028923273]}, "2": {"fourier": [12.27687469928715, 12.655778735012248, 60.87806789577007]}, "3": {"fourier": [18.70116486458823,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.378358, 0.070111, 0.146805, -0.291518, 0.590755], [0.250176, 0.522... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6923274099826813, "train_acc": 0.445, "val_loss": 0.723362147808075, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6682972013950348, "train_acc": 0.595, "val_loss": 0.732616126537323, "val... |
242 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8782, "learning_rate": 0.054374675981... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.367862,
0.311128,
-0.136551,
0.362658,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.367862,
0.311128,
-0.136551,
0.362658,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.75404198877919, 30.419784681573297, 35.48516995390201]}, "1": {"fourier": [20.533550905259357, 21.610080147991816, 26.67853313076784]}, "2": {"fourier": [29.010055275746538, 35.945478447733194, 173.48970906436443]}, "3": {"fourier": [21.337161741578... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.367862, 0.311128, -0.136551, 0.362658, -0.641424], [0.192918, 0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6925508081912994, "train_acc": 0.445, "val_loss": 0.6556811332702637, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6508808135986328, "train_acc": 0.565, "val_loss": 0.5394647717475891, "v... |
243 | {"target_pattern": "palindrome", "degraded_accuracy": 0.68, "improved_accuracy": 0.9, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6822, "learning_rate": 0.070064676623... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.444481,
0.518335,
-0.033969,
-0.602696,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.444481,
0.518335,
-0.033969,
-0.602696,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.79482849389839, 32.18897911538382, 47.91765883564949]}, "1": {"fourier": [38.395296152067424, 44.865843362517126, 193.64599871635437]}, "2": {"fourier": [27.283530282978468, 30.16479041473436, 32.16921806637462]}, "3": {"fourier": [36.19826409498629... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.444481, 0.518335, -0.033969, -0.602696, -0.323771], [0.80469, -0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.694334089756012, "train_acc": 0.48, "val_loss": 0.6647238731384277, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6653948426246643, "train_acc": 0.56, "val_loss": 0.5942774415016174, "val_... |
244 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9176, "learning_rate": 0.030853518801848757,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.493299,
-0.338759,
-0.195588,
-0.055216... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.493299,
-0.338759,
-0.195588,
-0.055216... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.014403529116056, 34.51118893162304, 194.15183525905013]}, "1": {"fourier": [35.520141849130795, 43.5368867004762, 209.9835116714239]}, "2": {"fourier": [30.926258138254557, 31.17298445212475, 125.38850449025631]}, "3": {"fourier": [49.72457863325888... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.493299, -0.338759, -0.195588, -0.055216, -0.297358], [0.463485, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6803795099258423, "train_acc": 0.575, "val_loss": 0.7145364284515381, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6699919700622559, "train_acc": 0.575, "val_loss": 0.6914443969726562, "v... |
245 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.34, "improved_accuracy": 0.96, "improvement": 0.6199999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3107, "learning_rate": 0.0398773011... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.047187,
-0.438558,
0.435699,
-0.246234,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.047187,
-0.438558,
0.435699,
-0.246234,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.715925104663107, 25.181446613991337, 105.1786312609911]}, "1": {"fourier": [54.582782826531115, 56.95429682007877, 299.26053093606606]}, "2": {"fourier": [53.056805120809734, 55.13712579191056, 286.08112217858434]}, "3": {"fourier": [44.303653111207... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.047187, -0.438558, 0.435699, -0.246234, -0.365848], [1.231292, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6696191430091858, "train_acc": 0.605, "val_loss": 0.7754157781600952, "val_acc": 0.34}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6619535088539124, "train_acc": 0.605, "val_loss": 0.7902511358261108, "v... |
246 | {"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 0.92, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6815, "learning_rate": 0.0575564885... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.065595,
0.467816,
0.347348,
0.568514,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.065595,
0.467816,
0.347348,
0.568514,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.859098483303065, 36.0678146243424, 229.5244564563036]}, "1": {"fourier": [49.91537787266492, 52.74099168391754, 180.34847725182772]}, "2": {"fourier": [22.747726003699402, 23.10974497489336, 179.2174193561077]}, "3": {"fourier": [69.70848598748819, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.065595, 0.467816, 0.347348, 0.568514, 0.130003], [0.436562, -1.11... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7461042702198029, "train_acc": 0.435, "val_loss": 0.720123291015625, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7060442268848419, "train_acc": 0.435, "val_loss": 0.6894630193710327, "va... |
247 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8337, "learning_rate": 0.0925950229... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.362934,
-0.214557,
0.780261,
0.400492,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.362934,
-0.214557,
0.780261,
0.400492,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [62.64171106180259, 67.94933929262622, 247.87679916620255]}, "1": {"fourier": [37.35402176411256, 41.00509102387636, 170.52586814761162]}, "2": {"fourier": [79.99773137091509, 81.25677152391967, 395.81457199156284]}, "3": {"fourier": [76.9626989724111, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.362934, -0.214557, 0.780261, 0.400492, -0.300536], [0.801311, 0.23... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7138919234275818, "train_acc": 0.455, "val_loss": 0.685554027557373, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6602869033813477, "train_acc": 0.565, "val_loss": 0.6121813058853149, "va... |
248 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8233, "learning_rate": 0.09080788685904738, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.336939,
0.322477,
-0.053172,
0.626372,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.336939,
0.322477,
-0.053172,
0.626372,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [43.21613261848717, 45.178554233976875, 329.9793224334717]}, "1": {"fourier": [29.11071796412683, 29.60370389770966, 151.9453788101673]}, "2": {"fourier": [24.821002155643022, 25.49251666689814, 99.21148002147675]}, "3": {"fourier": [42.925063941647615,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.336939, 0.322477, -0.053172, 0.626372, 0.736052], [-0.465444, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6876143515110016, "train_acc": 0.565, "val_loss": 0.6986492872238159, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6966058313846588, "train_acc": 0.565, "val_loss": 0.6886917352676392, "v... |
249 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.54, "improved_accuracy": 0.94, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6311, "learning_rate": 0.061124... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.145277,
-0.263832,
-0.230096,
0.045013,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.145277,
-0.263832,
-0.230096,
0.045013,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [12.506870288871738, 13.287072786861156, 52.938635513186455]}, "1": {"fourier": [22.486300537352644, 23.276229477013537, 77.67507579922676]}, "2": {"fourier": [38.45663655246636, 43.06991124941213, 102.56616145372391]}, "3": {"fourier": [29.174535731588... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.145277, -0.263832, -0.230096, 0.045013, 0.202657], [0.090017, 0.46... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.698856920003891, "train_acc": 0.42, "val_loss": 0.6324793100357056, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6026180386543274, "train_acc": 0.57, "val_loss": 0.4955911338329315, "val_... |
250 | {"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6541, "learning_rate": 0.0764733757... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.32165,
-0.144761,
-0.364278,
0.304881,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.32165,
-0.144761,
-0.364278,
0.304881,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.8211069279132, 20.10831247784854, 61.52000418305397]}, "1": {"fourier": [39.084013297965924, 42.51057785935354, 304.79015216231346]}, "2": {"fourier": [37.17752270707918, 38.301966975539194, 81.16535943746567]}, "3": {"fourier": [41.090556884017666,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.32165, -0.144761, -0.364278, 0.304881, -0.219069], [0.311437, -0.7... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6849904954433441, "train_acc": 0.465, "val_loss": 0.7386872172355652, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6449237763881683, "train_acc": 0.575, "val_loss": 0.6162315607070923, "v... |
251 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1033, "learning_rate": 0.07366... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.227729,
0.744834,
-0.24305,
-0.350638,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.227729,
0.744834,
-0.24305,
-0.350638,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [51.49248547908277, 55.64784992655335, 169.69160172343254]}, "1": {"fourier": [61.43533688270848, 63.715426549880796, 412.87609201669693]}, "2": {"fourier": [58.48130796156228, 59.324855452888926, 73.89707013450887]}, "3": {"fourier": [65.64336889908049... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.227729, 0.744834, -0.24305, -0.350638, -0.131771], [1.082599, 0.97... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6978203654289246, "train_acc": 0.495, "val_loss": 0.693436861038208, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.682516485452652, "train_acc": 0.565, "val_loss": 0.6827909350395203, "val... |
252 | {"target_pattern": "alternating", "degraded_accuracy": 0.64, "improved_accuracy": 0.94, "improvement": 0.29999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8870, "learning_rate": 0.0518166144... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.681441,
-0.415375,
0.523,
0.492678,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.681441,
-0.415375,
0.523,
0.492678,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.858757453634876, 33.25769423486013, 36.33364561526484]}, "1": {"fourier": [11.46595768976917, 13.112747236578778, 48.467350378632545]}, "2": {"fourier": [65.84997110071527, 71.53211285792909, 97.10341811180115]}, "3": {"fourier": [45.62719544885103,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.681441, -0.415375, 0.523, 0.492678, -0.142412], [-0.297526, 0.135... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6865241527557373, "train_acc": 0.5, "val_loss": 0.735247015953064, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.632686972618103, "train_acc": 0.62, "val_loss": 0.6501844525337219, "val_ac... |
253 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 1.0, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4400, "learning_rate": 0.07231771973194938, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.40614,
-0.209328,
0.302354,
0.19979,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.40614,
-0.209328,
0.302354,
0.19979,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.531333081949573, 21.973554762643236, 89.27779406309128]}, "1": {"fourier": [25.05200507285159, 33.10659680284541, 33.25571047900674]}, "2": {"fourier": [27.58143744331502, 35.95652597138027, 108.69958567619324]}, "3": {"fourier": [15.65988328229281,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.40614, -0.209328, 0.302354, 0.19979, 0.323957], [-0.362797, -0.65... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6718900799751282, "train_acc": 0.575, "val_loss": 0.6245244741439819, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5874805152416229, "train_acc": 0.575, "val_loss": 0.450716108083725, "val... |
254 | {"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.88, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9462, "learning_rate": 0.043725448587003994, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.212919,
-0.06064,
-0.367066,
-0.255139,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.212919,
-0.06064,
-0.367066,
-0.255139,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [15.128998347191787, 16.567656363986263, 143.24021691083908]}, "1": {"fourier": [33.15248258021258, 41.15551342070163, 52.00104087591171]}, "2": {"fourier": [50.520991485722746, 54.088375889087175, 143.49382011592388]}, "3": {"fourier": [23.647694367925... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.212919, -0.06064, -0.367066, -0.255139, 0.062079], [0.506847, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6934456825256348, "train_acc": 0.46, "val_loss": 0.6750376224517822, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.686715304851532, "train_acc": 0.54, "val_loss": 0.6592301726341248, "val_... |
255 | {"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1408, "learning_rate": 0.05255199878... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.067853,
0.573833,
0.378594,
0.504889,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.067853,
0.573833,
0.378594,
0.504889,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [38.48733501012396, 40.244827706135766, 238.06314638257027]}, "1": {"fourier": [19.440311262267212, 22.181037617630086, 95.66039709746838]}, "2": {"fourier": [35.76306238835001, 43.55549801744764, 48.08270686119795]}, "3": {"fourier": [30.91591058449684... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.067853, 0.573833, 0.378594, 0.504889, 0.063905], [0.284687, -0.083... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.694097250699997, "train_acc": 0.435, "val_loss": 0.6920236945152283, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6819996237754822, "train_acc": 0.56, "val_loss": 0.6558611392974854, "val... |
256 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.94, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8816, "learning_rate": 0.017652... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.328808,
0.275759,
-0.264062,
0.072244,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.328808,
0.275759,
-0.264062,
0.072244,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.85914067033709, 22.03227741277726, 63.13902087509632]}, "1": {"fourier": [20.610656494217608, 29.003633375546848, 33.31249889731407]}, "2": {"fourier": [25.920689896667863, 28.288442017625478, 122.45129270851612]}, "3": {"fourier": [30.2565628514830... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.328808, 0.275759, -0.264062, 0.072244, 0.546446], [-0.050551, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7107976973056793, "train_acc": 0.435, "val_loss": 0.6930547952651978, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6953543126583099, "train_acc": 0.45, "val_loss": 0.6838595867156982, "val... |
257 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.64, "improved_accuracy": 0.82, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1274, "learning_rate": 0.04511... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.435272,
0.364672,
-0.075946,
0.313896,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.435272,
0.364672,
-0.075946,
0.313896,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.556943243774324, 31.525629834311996, 118.73239994049072]}, "1": {"fourier": [26.1234056727879, 33.098612859098594, 33.427873492240906]}, "2": {"fourier": [19.138349476802706, 19.615622370318015, 37.01978577673435]}, "3": {"fourier": [21.628989991982... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.435272, 0.364672, -0.075946, 0.313896, -0.351093], [-0.275341, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6844334304332733, "train_acc": 0.545, "val_loss": 0.6935911774635315, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.654863029718399, "train_acc": 0.585, "val_loss": 0.6403678059577942, "va... |
258 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3046, "learning_rate": 0.06399... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.42224,
0.6164,
-0.062574,
-0.133594,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.42224,
0.6164,
-0.062574,
-0.133594,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.54506837008892, 32.18890368847735, 102.86903354525566]}, "1": {"fourier": [39.57737678539631, 41.09940581701447, 199.848392277956]}, "2": {"fourier": [30.469856357816536, 33.873856197855126, 264.2288348674774]}, "3": {"fourier": [34.42902459827907, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.42224, 0.6164, -0.062574, -0.133594, -0.408946], [0.909418, 0.3676... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.72688427567482, "train_acc": 0.42, "val_loss": 0.6906979084014893, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6859433650970459, "train_acc": 0.51, "val_loss": 0.7291874885559082, "val_a... |
259 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.7, "improved_accuracy": 0.98, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6094, "learning_rate": 0.07483508708132526, "batch... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.246217,
0.471391,
0.523946,
-0.477517,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.246217,
0.471391,
0.523946,
-0.477517,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [57.85450431829326, 70.75419910219955, 186.51368236541748]}, "1": {"fourier": [42.528739554161604, 47.548563568901216, 431.6839607954025]}, "2": {"fourier": [59.39129206459834, 63.391462455280795, 289.94594395160675]}, "3": {"fourier": [68.9462814520628... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[1.246217, 0.471391, 0.523946, -0.477517, -0.209833], [-0.139058, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7583958506584167, "train_acc": 0.425, "val_loss": 0.686991274356842, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6789157688617706, "train_acc": 0.455, "val_loss": 0.8458645343780518, "va... |
260 | {"target_pattern": "ends_with", "degraded_accuracy": 0.54, "improved_accuracy": 0.92, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3026, "learning_rate": 0.06534669999794668, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.865031,
-0.234149,
-0.138919,
0.277506,... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.865031,
-0.234149,
-0.138919,
0.277506,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [44.808892615145325, 49.64072912000725, 56.699885815382004]}, "1": {"fourier": [35.20547205995424, 40.47176145145002, 111.46276035904884]}, "2": {"fourier": [32.62772171093627, 34.859772472850395, 304.6787559092045]}, "3": {"fourier": [35.56500663981757... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.865031, -0.234149, -0.138919, 0.277506, 1.20653], [0.176628, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.711128294467926, "train_acc": 0.44, "val_loss": 0.6890416145324707, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6837949752807617, "train_acc": 0.56, "val_loss": 0.67559814453125, "val_ac... |
261 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2356, "learning_rate": 0.0301904269851338, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.554686,
0.024438,
0.095165,
-0.034335,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.554686,
0.024438,
0.095165,
-0.034335,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.524490404468647, 24.95616797819581, 84.72579580545425]}, "1": {"fourier": [25.206908282809106, 27.283003148114, 88.25087567418814]}, "2": {"fourier": [9.81765728936016, 10.192610417159148, 71.0200542062521]}, "3": {"fourier": [21.84331297121465, 22.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.554686, 0.024438, 0.095165, -0.034335, -0.254072], [-0.258297, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6780301928520203, "train_acc": 0.585, "val_loss": 0.7131893634796143, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.670976459980011, "train_acc": 0.585, "val_loss": 0.6761913895606995, "va... |
262 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.98, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6447, "learning_rate": 0.08035653283636177, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.403045,
-0.600306,
0.48556,
0.258847,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.403045,
-0.600306,
0.48556,
0.258847,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [35.952694175664845, 36.8955845322799, 58.96286717057228]}, "1": {"fourier": [29.11380824374346, 29.72431404854869, 81.98948672413826]}, "2": {"fourier": [30.88910058951791, 32.517056911674715, 164.2824665606022]}, "3": {"fourier": [33.02636528374829, 3... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.403045, -0.600306, 0.48556, 0.258847, 0.30013], [-0.116659, -0.45... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7065585851669312, "train_acc": 0.57, "val_loss": 0.7141064405441284, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782776713371277, "train_acc": 0.57, "val_loss": 0.6668745279312134, "val_... |
263 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.5, "improved_accuracy": 0.86, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6487, "learning_rate": 0.0917938599831118, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.698501,
-1.127979,
0.039507,
0.461138,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.698501,
-1.127979,
0.039507,
0.461138,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [46.73515177808388, 47.090091295470216, 73.28600740432739]}, "1": {"fourier": [57.70855760992185, 60.50607866434467, 312.01889753341675]}, "2": {"fourier": [59.02101893381689, 60.141965123757245, 376.072025090456]}, "3": {"fourier": [25.204992666317285,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.698501, -1.127979, 0.039507, 0.461138, 0.35143], [0.910019, 0.895... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6944684982299805, "train_acc": 0.565, "val_loss": 0.6977012157440186, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.636586457490921, "train_acc": 0.58, "val_loss": 0.5350987315177917, "val... |
264 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.36, "improved_accuracy": 0.94, "improvement": 0.58, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5752, "learning_rate": 0.049284043875883636,... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.270554,
-0.100523,
0.614922,
0.335513,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.270554,
-0.100523,
0.614922,
0.335513,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.843276237059005, 32.08739886954823, 213.5267961397767]}, "1": {"fourier": [28.882291325335025, 29.37725906403968, 30.48598727983715]}, "2": {"fourier": [32.390739653683475, 36.30344622838956, 70.65189090371132]}, "3": {"fourier": [22.765118476922783... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.270554, -0.100523, 0.614922, 0.335513, 0.097628], [0.689943, 0.315... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.673598051071167, "train_acc": 0.605, "val_loss": 0.7530004978179932, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6530002355575562, "train_acc": 0.605, "val_loss": 0.6976434588432312, "va... |
265 | {"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4466, "learning_rate": 0.0220976020310... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.123884,
0.017351,
0.161062,
0.02232,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.123884,
0.017351,
0.161062,
0.02232,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.81180675320083, 21.83681922826814, 137.29194739460945]}, "1": {"fourier": [16.42038776168702, 17.50227199480029, 57.00393298268318]}, "2": {"fourier": [25.94438664852019, 26.24442600852013, 146.78157663345337]}, "3": {"fourier": [33.799671936497084,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.123884, 0.017351, 0.161062, 0.02232, 0.427832], [0.435721, -0.0161... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7076303660869598, "train_acc": 0.415, "val_loss": 0.6899442076683044, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6776016056537628, "train_acc": 0.585, "val_loss": 0.6980109214782715, "v... |
266 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5010, "learning_rate": 0.0854779... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.057538,
0.691399,
0.064638,
-0.007978,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.057538,
0.691399,
0.064638,
-0.007978,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [32.28764081747598, 40.70455574529826, 40.860037229955196]}, "1": {"fourier": [23.148320377047533, 25.53807927233536, 42.381888419389725]}, "2": {"fourier": [14.78604020303674, 24.616147881071548, 80.28994466364384]}, "3": {"fourier": [41.13443376320197... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.057538, 0.691399, 0.064638, -0.007978, -0.851745], [-0.195768, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6958502233028412, "train_acc": 0.455, "val_loss": 0.7075775265693665, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6345126628875732, "train_acc": 0.575, "val_loss": 0.5685262680053711, "va... |
267 | {"target_pattern": "has_majority", "degraded_accuracy": 0.42, "improved_accuracy": 0.86, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1351, "learning_rate": 0.05242250383009301, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.466591,
-0.535115,
-0.644721,
0.178022,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.466591,
-0.535115,
-0.644721,
0.178022,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.043141844191656, 29.357089866622637, 53.323359578847885]}, "1": {"fourier": [34.13578511085458, 40.70130239320006, 102.32861921191216]}, "2": {"fourier": [39.50708729477273, 49.075984076431, 149.113968282938]}, "3": {"fourier": [52.162130726043614, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.466591, -0.535115, -0.644721, 0.178022, 0.239413], [-0.526425, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6714209914207458, "train_acc": 0.595, "val_loss": 0.7783322334289551, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6846108734607697, "train_acc": 0.595, "val_loss": 0.806057870388031, "va... |
268 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.62, "improved_accuracy": 0.96, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4642, "learning_rate": 0.04261... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.250317,
-0.193131,
-0.442427,
-0.165968... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.250317,
-0.193131,
-0.442427,
-0.165968... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [27.161761603445033, 30.05313957671539, 167.45449022948742]}, "1": {"fourier": [20.66425358633589, 21.61629532019581, 78.77895053103566]}, "2": {"fourier": [27.224836907918775, 31.31308425042929, 32.54071796602839]}, "3": {"fourier": [27.928781293716572... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.250317, -0.193131, -0.442427, -0.165968, -0.195705], [0.387779, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7036124467849731, "train_acc": 0.45, "val_loss": 0.6692578196525574, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6828059554100037, "train_acc": 0.55, "val_loss": 0.6157163977622986, "val... |
269 | {"target_pattern": "alternating", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1862, "learning_rate": 0.05727739496... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.041351,
0.147895,
0.49662,
0.182692,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.041351,
0.147895,
0.49662,
0.182692,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.319128389593413, 20.84482793390989, 106.31685112044215]}, "1": {"fourier": [24.587248713818774, 27.880260048818606, 78.33460042625666]}, "2": {"fourier": [49.861818316463314, 53.66870967573761, 251.82467909157276]}, "3": {"fourier": [57.678245795421... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.041351, 0.147895, 0.49662, 0.182692, -0.400896], [0.289809, 0.665... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885011792182922, "train_acc": 0.55, "val_loss": 0.6864242553710938, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6896592974662781, "train_acc": 0.55, "val_loss": 0.6757535338401794, "val_... |
270 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.58, "improved_accuracy": 0.92, "improvement": 0.3400000000000001, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8468, "learning_rate": 0.034113... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.052151,
0.486505,
0.067885,
-0.041721,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.052151,
0.486505,
0.067885,
-0.041721,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.96775381166111, 17.298334077540012, 80.19959042221308]}, "1": {"fourier": [27.539577877198067, 29.218110594781173, 157.1413058936596]}, "2": {"fourier": [34.38015253820181, 35.21422364766069, 157.39990457892418]}, "3": {"fourier": [19.07163615658996... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.052151, 0.486505, 0.067885, -0.041721, -0.143101], [-0.211005, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895203292369843, "train_acc": 0.52, "val_loss": 0.672849714756012, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6725022494792938, "train_acc": 0.55, "val_loss": 0.593658983707428, "val_a... |
271 | {"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.74, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1359, "learning_rate": 0.0699634549... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.432731,
0.058463,
-0.188221,
-0.11636,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.432731,
0.058463,
-0.188221,
-0.11636,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.011479656671376, 20.543450544337308, 106.39993654191494]}, "1": {"fourier": [37.32254097300918, 45.162881672382355, 56.52808916142999]}, "2": {"fourier": [51.26152537358706, 54.90097692105277, 196.5336262434721]}, "3": {"fourier": [32.8038110430455,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.432731, 0.058463, -0.188221, -0.11636, 0.154697], [-0.867354, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7046093642711639, "train_acc": 0.42, "val_loss": 0.691956639289856, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6821858286857605, "train_acc": 0.58, "val_loss": 0.6878405809402466, "val_... |
272 | {"target_pattern": "ends_with", "degraded_accuracy": 0.42, "improved_accuracy": 0.94, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1020, "learning_rate": 0.07946889600116225, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.262152,
0.12713,
0.0865,
-0.422359,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.262152,
0.12713,
0.0865,
-0.422359,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.72618502744998, 19.580168330985188, 135.0237906575203]}, "1": {"fourier": [30.833991768096723, 33.22502937912941, 34.39108457722917]}, "2": {"fourier": [30.23236634293933, 32.81197723823805, 119.77359723299742]}, "3": {"fourier": [32.156446833720786... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.262152, 0.12713, 0.0865, -0.422359, -0.267356], [-0.130338, 0.112... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6864587962627411, "train_acc": 0.445, "val_loss": 0.690600574016571, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.584899365901947, "train_acc": 0.575, "val_loss": 0.555779218673706, "val_... |
273 | {"target_pattern": "ends_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7410, "learning_rate": 0.061312236915683875, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.675689,
0.064676,
-0.017887,
0.079965,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.675689,
0.064676,
-0.017887,
0.079965,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [29.67682404248391, 31.07217740934203, 84.91376781463623]}, "1": {"fourier": [41.54667090570264, 47.020989724222346, 114.63112915307283]}, "2": {"fourier": [27.47091595830732, 27.77777450273609, 32.99548959280052]}, "3": {"fourier": [36.3419374576312, 4... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.675689, 0.064676, -0.017887, 0.079965, 0.774585], [0.620978, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6886599063873291, "train_acc": 0.58, "val_loss": 0.6991164684295654, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.623577356338501, "train_acc": 0.58, "val_loss": 0.6231451630592346, "val_... |
274 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 0.96, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6970, "learning_rate": 0.02639... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.127863,
-0.191376,
-0.35208,
0.246688,
... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.127863,
-0.191376,
-0.35208,
0.246688,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.155746657455026, 23.13964952255092, 49.56438209116459]}, "1": {"fourier": [22.620718319634687, 26.87719396116799, 127.85823526978493]}, "2": {"fourier": [18.760264987404405, 21.899196139020873, 121.83205717802048]}, "3": {"fourier": [25.053510478231... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.127863, -0.191376, -0.35208, 0.246688, -0.223541], [-0.418939, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.67882439494133, "train_acc": 0.58, "val_loss": 0.7101483941078186, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.676686018705368, "train_acc": 0.58, "val_loss": 0.7030429244041443, "val_acc... |
275 | {"target_pattern": "has_majority", "degraded_accuracy": 0.58, "improved_accuracy": 0.82, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5232, "learning_rate": 0.03981592912229904, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.176275,
-0.251904,
-0.289088,
0.374374,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.176275,
-0.251904,
-0.289088,
0.374374,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.584562794953303, 27.10225596271086, 84.00087922811508]}, "1": {"fourier": [45.934610217507114, 48.498522755122536, 364.1601579096168]}, "2": {"fourier": [31.042052658077182, 32.562340332861424, 81.01998317986727]}, "3": {"fourier": [36.2072717270983... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.176275, -0.251904, -0.289088, 0.374374, -0.458557], [0.006472, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6794270277023315, "train_acc": 0.585, "val_loss": 0.7087333798408508, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6780951023101807, "train_acc": 0.585, "val_loss": 0.716615617275238, "va... |
276 | {"target_pattern": "alternating", "degraded_accuracy": 0.44, "improved_accuracy": 0.9, "improvement": 0.46, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3789, "learning_rate": 0.08532816994826156, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.425261,
-0.363183,
-0.489147,
0.051898,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.425261,
-0.363183,
-0.489147,
0.051898,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.679487102661266, 27.21089277835071, 89.95978340506554]}, "1": {"fourier": [73.64771897651009, 79.22930054220896, 437.6586979031563]}, "2": {"fourier": [42.6338358613638, 51.04105915073244, 356.7997223138809]}, "3": {"fourier": [85.40794330359344, 88... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.425261, -0.363183, -0.489147, 0.051898, 0.364635], [0.635216, -1.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.69510617852211, "train_acc": 0.475, "val_loss": 0.7222974896430969, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6805875897407532, "train_acc": 0.585, "val_loss": 0.7502444982528687, "val... |
277 | {"target_pattern": "starts_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.8, "improvement": 0.34, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7113, "learning_rate": 0.0888759850920464, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.47961,
-0.766315,
-0.220096,
-0.337727,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.47961,
-0.766315,
-0.220096,
-0.337727,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.44575209725319, 34.46832952952166, 124.69242811203003]}, "1": {"fourier": [37.57538299164452, 45.106322869502094, 204.0447497367859]}, "2": {"fourier": [48.683430119673204, 49.29498752971134, 432.0014217495918]}, "3": {"fourier": [38.462171615458885... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.47961, -0.766315, -0.220096, -0.337727, 0.415766], [-0.446005, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6988456845283508, "train_acc": 0.435, "val_loss": 0.7096731066703796, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6786060333251953, "train_acc": 0.575, "val_loss": 0.7145578265190125, "v... |
278 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.46, "improved_accuracy": 0.98, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4373, "learning_rate": 0.024043940896453994, ... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.50155,
-0.36871,
0.406563,
0.118841,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.50155,
-0.36871,
0.406563,
0.118841,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.084624962743717, 25.511347286066005, 26.512385918904734]}, "1": {"fourier": [29.875662714492638, 30.538150915979365, 87.4762963205576]}, "2": {"fourier": [33.531065536043336, 35.02921732928979, 320.9440039694309]}, "3": {"fourier": [32.7325853697899... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.50155, -0.36871, 0.406563, 0.118841, 0.084751], [-0.09391, 0.2488... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912877261638641, "train_acc": 0.53, "val_loss": 0.7010151743888855, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6784650087356567, "train_acc": 0.575, "val_loss": 0.7065832614898682, "va... |
279 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.56, "improved_accuracy": 1.0, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7387, "learning_rate": 0.09250... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.284404,
-0.8241,
0.455075,
-1.321701,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.284404,
-0.8241,
0.455075,
-1.321701,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [58.93980034015985, 66.32512510221187, 243.66405160725117]}, "1": {"fourier": [43.314896774729284, 47.750268507435926, 349.1757054924965]}, "2": {"fourier": [21.61485943439674, 22.580952113670655, 157.18385019898415]}, "3": {"fourier": [45.8554475685496... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.284404, -0.8241, 0.455075, -1.321701, 0.182891], [0.364647, -0.564... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910243034362793, "train_acc": 0.48, "val_loss": 0.6869000196456909, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.701574295759201, "train_acc": 0.56, "val_loss": 0.6820698380470276, "val_... |
280 | {"target_pattern": "starts_with", "degraded_accuracy": 0.38, "improved_accuracy": 0.8, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5633, "learning_rate": 0.06873734850... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.982997,
0.362373,
-0.293977,
0.04765,
... | starts_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.982997,
0.362373,
-0.293977,
0.04765,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [40.199171260429424, 49.16793142012535, 58.818831980228424]}, "1": {"fourier": [49.00541668699057, 50.3629643569218, 55.540895570470894]}, "2": {"fourier": [27.243398237062408, 33.85703599646434, 199.35963208973408]}, "3": {"fourier": [49.12772993635876... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.982997, 0.362373, -0.293977, 0.04765, -0.824107], [1.234684, 0.589... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6695472598075867, "train_acc": 0.605, "val_loss": 0.841291606426239, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6466084420681, "train_acc": 0.605, "val_loss": 0.7799476385116577, "val_a... |
281 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2547, "learning_rate": 0.06917360008417699, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.155951,
0.468536,
-0.053028,
0.640969,
... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.155951,
0.468536,
-0.053028,
0.640969,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [32.906121631722286, 36.697579894675776, 126.24042116850615]}, "1": {"fourier": [34.746752049690414, 37.05994122077725, 143.76808547228575]}, "2": {"fourier": [26.221449349461587, 27.37525914729209, 93.46939644217491]}, "3": {"fourier": [32.239569496741... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.155951, 0.468536, -0.053028, 0.640969, -0.500176], [0.589659, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6907570958137512, "train_acc": 0.555, "val_loss": 0.6656295657157898, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6611862778663635, "train_acc": 0.555, "val_loss": 0.5833975076675415, "v... |
282 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.66, "improved_accuracy": 0.84, "improvement": 0.17999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9144, "learning_rate": 0.06759... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.056859,
0.099601,
-0.172228,
-0.512661,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.056859,
0.099601,
-0.172228,
-0.512661,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.76570614304626, 20.204319685485327, 155.67351907491684]}, "1": {"fourier": [35.32112150981274, 36.03103624597377, 43.562070848810926]}, "2": {"fourier": [23.31226206087087, 24.87046224698153, 132.22384265065193]}, "3": {"fourier": [19.85119761812819... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.056859, 0.099601, -0.172228, -0.512661, -0.127576], [-0.743896, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6560030281543732, "train_acc": 0.61, "val_loss": 0.7730515003204346, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6387088298797607, "train_acc": 0.595, "val_loss": 0.6402091979980469, "va... |
283 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.86, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7132, "learning_rate": 0.0826124707375247, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.584122,
0.058113,
-0.257987,
0.066343,
... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.584122,
0.058113,
-0.257987,
0.066343,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.140769787014094, 33.29626507116671, 34.84212890036879]}, "1": {"fourier": [22.113221886091676, 30.159212873349638, 103.84222605079412]}, "2": {"fourier": [38.14500003777314, 43.41701867204142, 43.65895852673773]}, "3": {"fourier": [43.04542214154228... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.584122, 0.058113, -0.257987, 0.066343, 0.953307], [-0.121162, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6842462122440338, "train_acc": 0.57, "val_loss": 0.6948208808898926, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6807612180709839, "train_acc": 0.57, "val_loss": 0.699404776096344, "val_a... |
284 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.44, "improved_accuracy": 0.96, "improvement": 0.52, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3877, "learning_rate": 0.05220734351895749, "batc... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.083704,
-0.368976,
-0.094714,
-0.42448,... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.083704,
-0.368976,
-0.094714,
-0.42448,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [37.974624589541, 40.126900138826606, 274.2216426283121]}, "1": {"fourier": [14.133141057288398, 15.268630519509315, 16.31093266240852]}, "2": {"fourier": [28.867886128275668, 31.616498586277167, 139.39702251553535]}, "3": {"fourier": [14.59231672412636... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.083704, -0.368976, -0.094714, -0.42448, -0.746131], [0.262429, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6973057687282562, "train_acc": 0.42, "val_loss": 0.7020385265350342, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6724892258644104, "train_acc": 0.59, "val_loss": 0.6872432827949524, "val... |
285 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.88, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7329, "learning_rate": 0.07228868201... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.078051,
0.164409,
-0.093004,
0.377049,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.078051,
0.164409,
-0.093004,
0.377049,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.048402857915367, 26.630894023755488, 168.5931525528431]}, "1": {"fourier": [23.562006143480385, 26.198276813091567, 33.82457155140514]}, "2": {"fourier": [17.45195548164799, 19.722205599793224, 28.233652859926224]}, "3": {"fourier": [27.001435755079... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.078051, 0.164409, -0.093004, 0.377049, 0.519226], [-0.679252, 0.53... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6895098090171814, "train_acc": 0.565, "val_loss": 0.6860119700431824, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6827980875968933, "train_acc": 0.565, "val_loss": 0.6786962747573853, "v... |
286 | {"target_pattern": "alternating", "degraded_accuracy": 0.5, "improved_accuracy": 1.0, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6916, "learning_rate": 0.03138673356334388, "batch_si... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.193356,
0.279327,
0.183697,
0.67391,
... | alternating | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.193356,
0.279327,
0.183697,
0.67391,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.91444086487651, 31.9956518610023, 222.47771323472261]}, "1": {"fourier": [25.19809741677576, 25.349794598930675, 34.914411790536086]}, "2": {"fourier": [25.386749995971762, 38.33760099511435, 164.38942646980286]}, "3": {"fourier": [23.52888018263355... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.193356, 0.279327, 0.183697, 0.67391, 0.270159], [-0.376804, -0.61... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972621083259583, "train_acc": 0.455, "val_loss": 0.6880207657814026, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6721917986869812, "train_acc": 0.565, "val_loss": 0.679250955581665, "val... |
287 | {"target_pattern": "ends_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.96, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2526, "learning_rate": 0.031831087022235686, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.49745,
0.422048,
0.140986,
-0.108943,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.49745,
0.422048,
0.140986,
-0.108943,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.3118492034139, 32.15452255507838, 48.31801579892635]}, "1": {"fourier": [26.835149242974058, 35.29516091115511, 77.00928926467896]}, "2": {"fourier": [10.709758884698067, 11.893072206683264, 25.176955826580524]}, "3": {"fourier": [27.744409803601986... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.49745, 0.422048, 0.140986, -0.108943, -0.717058], [-0.098946, -0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7127546966075897, "train_acc": 0.435, "val_loss": 0.6938869953155518, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6923922300338745, "train_acc": 0.47, "val_loss": 0.6852167248725891, "va... |
288 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.54, "improved_accuracy": 0.94, "improvement": 0.3999999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 5620, "learning_rate": 0.07353... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.786809,
0.113374,
0.470892,
0.12735,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.786809,
0.113374,
0.470892,
0.12735,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.190956924111585, 31.36243154600472, 76.0125415623188]}, "1": {"fourier": [31.26117211207005, 36.37739754917095, 37.900179376627854]}, "2": {"fourier": [30.09084536039932, 30.6811935914955, 32.6468470273737]}, "3": {"fourier": [31.0500028242195, 32.4... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.786809, 0.113374, 0.470892, 0.12735, 0.22407], [-0.348848, -0.131... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6888710856437683, "train_acc": 0.565, "val_loss": 0.6895722150802612, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6828663647174835, "train_acc": 0.565, "val_loss": 0.661877453327179, "va... |
289 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.6, "improved_accuracy": 0.9, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8312, "learning_rate": 0.064249... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.4626,
0.37115,
-0.220517,
-0.093388,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.4626,
0.37115,
-0.220517,
-0.093388,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.08132609249275, 21.245165715246284, 39.36213643103838]}, "1": {"fourier": [28.002598359834693, 31.724362710978802, 55.20780059695244]}, "2": {"fourier": [21.912579492921104, 27.741239179788515, 112.44253344088793]}, "3": {"fourier": [19.334356025901... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.4626, 0.37115, -0.220517, -0.093388, -0.003283], [0.354064, 0.4732... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6885879039764404, "train_acc": 0.55, "val_loss": 0.6831222772598267, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6779820919036865, "train_acc": 0.55, "val_loss": 0.6090139150619507, "val_... |
290 | {"target_pattern": "vowel_consonant", "degraded_accuracy": 0.46, "improved_accuracy": 0.76, "improvement": 0.3, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2096, "learning_rate": 0.06412259960979436, "ba... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.359095,
0.058402,
-0.052551,
-0.018538,... | vowel_consonant | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.359095,
0.058402,
-0.052551,
-0.018538,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.335154560696596, 14.945960120837267, 80.38120862841606]}, "1": {"fourier": [23.70837846075429, 32.2698584881007, 176.5374740064144]}, "2": {"fourier": [29.23022997542323, 29.389837897578012, 31.93255899679372]}, "3": {"fourier": [29.328382261045512,... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.359095, 0.058402, -0.052551, -0.018538, 0.211646], [0.115438, 0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6736805140972137, "train_acc": 0.595, "val_loss": 0.7369415163993835, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6520602405071259, "train_acc": 0.595, "val_loss": 0.6427724957466125, "v... |
291 | {"target_pattern": "palindrome", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2244, "learning_rate": 0.06794777041012895, "batch_s... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.604157,
0.239302,
0.163527,
0.256235,
... | palindrome | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.604157,
0.239302,
0.163527,
0.256235,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.675011788992446, 31.24775150068074, 38.70795952680212]}, "1": {"fourier": [31.55040662703382, 35.309881296455266, 145.2759110033512]}, "2": {"fourier": [21.404756290882062, 25.078478812259764, 28.73344759643078]}, "3": {"fourier": [21.85566456057524... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.604157, 0.239302, 0.163527, 0.256235, -0.559466], [-0.680514, 0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7173006236553192, "train_acc": 0.445, "val_loss": 0.6686474680900574, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6858792901039124, "train_acc": 0.555, "val_loss": 0.6450303792953491, "va... |
292 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1553, "learning_rate": 0.05546... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.911428,
0.562178,
0.202094,
0.015287,
... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 5
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.911428,
0.562178,
0.202094,
0.015287,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [48.122091023382666, 52.075795787748255, 322.6084102988243]}, "1": {"fourier": [27.489286600569834, 28.894863817265325, 59.71544237434864]}, "2": {"fourier": [46.09351560939057, 48.96260455102204, 240.67089781165123]}, "3": {"fourier": [38.9931373211170... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.911428, 0.562178, 0.202094, 0.015287, 0.32686], [0.291856, 0.14866... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7143107652664185, "train_acc": 0.41, "val_loss": 0.7054865956306458, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.675995409488678, "train_acc": 0.59, "val_loss": 0.7642194628715515, "val_... |
293 | {"target_pattern": "ends_with", "degraded_accuracy": 0.62, "improved_accuracy": 0.86, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2669, "learning_rate": 0.026492499558623907, "batch_... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.296397,
0.35533,
0.194749,
0.270594,
... | ends_with | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.296397,
0.35533,
0.194749,
0.270594,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.7206982912718, 37.72286279946466, 84.35689760744572]}, "1": {"fourier": [33.95826472689178, 35.826890988403505, 108.16967517137527]}, "2": {"fourier": [34.65135571181266, 41.13296340451646, 285.9040192812681]}, "3": {"fourier": [26.431543111094335, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.296397, 0.35533, 0.194749, 0.270594, -0.95556], [-0.163205, 0.3764... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7063345611095428, "train_acc": 0.45, "val_loss": 0.6988912224769592, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6935960054397583, "train_acc": 0.47, "val_loss": 0.6793329119682312, "val... |
294 | {"target_pattern": "has_majority", "degraded_accuracy": 0.64, "improved_accuracy": 0.92, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7275, "learning_rate": 0.036801495554017856, "bat... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.290891,
-0.49983,
-0.123424,
0.250283,
... | has_majority | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.290891,
-0.49983,
-0.123424,
0.250283,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [15.57949598133564, 16.044800516621084, 16.89955724961092]}, "1": {"fourier": [31.011635969892012, 36.05994105983304, 300.50861817598343]}, "2": {"fourier": [20.499991910081476, 22.295860866191987, 165.48322159051895]}, "3": {"fourier": [19.618691998515... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[0.290891, -0.49983, -0.123424, 0.250283, -0.055739], [-0.055436, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6761584877967834, "train_acc": 0.59, "val_loss": 0.7541961073875427, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6708219349384308, "train_acc": 0.59, "val_loss": 0.7547332048416138, "val... |
295 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9904, "learning_rate": 0.02993... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.078907,
0.186045,
0.299071,
-0.478359,
... | increasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.078907,
0.186045,
0.299071,
-0.478359,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.560276161524232, 18.991862095655936, 26.74383358041301]}, "1": {"fourier": [36.1786539663554, 37.60654454180661, 297.59851014614105]}, "2": {"fourier": [21.583277572940343, 22.630335566618996, 135.80495539307594]}, "3": {"fourier": [17.8943166356414... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.078907, 0.186045, 0.299071, -0.478359, 0.30654], [0.026161, 0.689... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845344007015228, "train_acc": 0.56, "val_loss": 0.677033007144928, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6716470420360565, "train_acc": 0.56, "val_loss": 0.6261531114578247, "val_... |
296 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.58, "improved_accuracy": 0.76, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6013, "learning_rate": 0.04755... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.027468,
-0.161034,
-0.093859,
-0.017991... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 6
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.027468,
-0.161034,
-0.093859,
-0.017991... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.78550267496609, 30.307861179113388, 34.90597759495433]}, "1": {"fourier": [27.840594243972983, 28.688452399913185, 212.59891498088837]}, "2": {"fourier": [43.602409655962404, 44.56655193707395, 185.68893828988075]}, "3": {"fourier": [38.087856896101... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.027468, -0.161034, -0.093859, -0.017991, 0.858339], [-0.15014, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910253763198853, "train_acc": 0.5, "val_loss": 0.6816564202308655, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6839490234851837, "train_acc": 0.56, "val_loss": 0.6760002374649048, "val_... |
297 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.52, "improved_accuracy": 0.86, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3836, "learning_rate": 0.071350996... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.174735,
-0.231477,
0.07873,
-0.277513,
... | contains_abc | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 7
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.174735,
-0.231477,
0.07873,
-0.277513,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.826488561306434, 23.5034401959826, 142.4948098435998]}, "1": {"fourier": [33.377858942482106, 37.0332243643456, 76.58007664978504]}, "2": {"fourier": [31.175262109500004, 32.91003853888231, 51.15309536457062]}, "3": {"fourier": [37.3866624186504, 39... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.174735, -0.231477, 0.07873, -0.277513, -0.406939], [0.702875, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845654547214508, "train_acc": 0.57, "val_loss": 0.7171134948730469, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.656058132648468, "train_acc": 0.57, "val_loss": 0.5658271312713623, "val_... |
298 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6882, "learning_rate": 0.04365... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.473889,
0.097979,
-0.412503,
-0.167571,... | decreasing_pairs | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 4
Neurons per Layer: 8
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.473889,
0.097979,
-0.412503,
-0.167571,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.90454723468151, 32.90295476568129, 197.8042782843113]}, "1": {"fourier": [20.13830979822891, 20.534722813441668, 84.444060921669]}, "2": {"fourier": [24.002919145244494, 26.317936783803262, 79.20967128872871]}, "3": {"fourier": [22.022413367184924, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.473889, 0.097979, -0.412503, -0.167571, -0.194522], [-0.302379, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6970954239368439, "train_acc": 0.41, "val_loss": 0.6566712856292725, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6615161895751953, "train_acc": 0.555, "val_loss": 0.5306805968284607, "va... |
299 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.7, "improved_accuracy": 0.96, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3831, "learning_rate": 0.028352807986233325, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.143798,
-0.243284,
-0.030773,
-0.073555... | sorted_ascending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 5
Neurons per Layer: 6
Activation Function: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.143798,
-0.243284,
-0.030773,
-0.073555... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.314415150722454, 26.251998125225988, 42.486527785658836]}, "1": {"fourier": [30.106712562963367, 31.62969984237851, 32.532970915039634]}, "2": {"fourier": [37.6656408609601, 39.55739621040116, 166.0744784772396]}, "3": {"fourier": [11.80266648604906... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.143798, -0.243284, -0.030773, -0.073555, 0.680197], [-0.28033, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6926417350769043, "train_acc": 0.475, "val_loss": 0.6869909763336182, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6716073751449585, "train_acc": 0.585, "val_loss": 0.6567262411117554, "v... |
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