example_id int64 0 10k | metadata stringlengths 679 723 | classification_prompt stringlengths 6.02k 15.1k | classification_completion stringclasses 14
values | classification_text stringlengths 6.04k 15.1k | improved_signature stringlengths 5.27k 12k | improved_model_weights stringlengths 1.76k 5.04k | training_metrics stringlengths 1.46k 2.92k |
|---|---|---|---|---|---|---|---|
0 | {"target_pattern": "sorted_descending", "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": 9016, "learning_rate": 0.08961895813761998, "... | ## 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": [
[
-0.079266,
-0.331568,
-0.021606,
-0.38159,... | sorted_descending | ## 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": [
[
-0.079266,
-0.331568,
-0.021606,
-0.38159,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [15.475095615008929, 16.282195704902502, 16.540982054233524, 17.588021218085444, 19.99567337530204, 20.65763827669693, 21.488559555884002, 25.57483068085249, 26.728448054338298, 146.72933545708656]}, "1": {"fourier": [25.55697578100451, 26.5421922645987... | {"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": [[-0.079266, -0.331568, -0.021606, -0.38159, -0.257744], [0.783423, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7078987956047058, "train_acc": 0.335, "val_loss": 0.6909290552139282, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6790494918823242, "train_acc": 0.565, "val_loss": 0.6718218326568604, "v... |
1 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.98, "improvement": 0.5, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2679, "learning_rate": 0.03008896643339405, "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": [
[
0.364617,
-0.214867,
-0.242816,
0.329134,
... | palindrome | ## 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": [
[
0.364617,
-0.214867,
-0.242816,
0.329134,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.53627917643435, 16.6290647559251, 17.930086694984517, 18.14393440210429, 19.206164218625418, 19.388003705639893, 20.71641762527409, 20.954731489952753, 23.193903304785167, 61.51834811270237]}, "1": {"fourier": [17.245365941182506, 17.851945847101682... | {"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": [[0.364617, -0.214867, -0.242816, 0.329134, 0.405992], [0.31514, 0.392... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6907158493995667, "train_acc": 0.58, "val_loss": 0.6944127678871155, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782322525978088, "train_acc": 0.58, "val_loss": 0.6845188140869141, "val... |
2 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7902, "learning_rate": 0.019119242316001303, "ba... | ## 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": [
[
0.199268,
-0.311396,
0.129502,
-0.487328,
... | increasing_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": [
[
0.199268,
-0.311396,
0.129502,
-0.487328,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.678652919563284, 17.70039239404052, 17.781683404642735, 18.584744236354524, 19.380232121578874, 19.686073863057285, 20.13645829255134, 22.89112238427314, 25.70501341827873, 135.40112408995628]}, "1": {"fourier": [20.73866538672635, 20.97538812256981... | {"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": [[0.199268, -0.311396, 0.129502, -0.487328, -0.22679], [-0.203777, 0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7226835191249847, "train_acc": 0.425, "val_loss": 0.6928030252456665, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7008070349693298, "train_acc": 0.425, "val_loss": 0.6858577728271484, "va... |
3 | {"target_pattern": "alternating", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9451, "learning_rate": 0.07352170370310572, "batch... | ## 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": [
[
-0.507886,
0.05742,
0.215218,
0.382361,
... | 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": [
[
-0.507886,
0.05742,
0.215218,
0.382361,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.893157094407666, 19.562845339044713, 21.089232882508476, 22.093722278934695, 22.177428763816874, 22.537700635666877, 23.32863203329764, 25.511067324939454, 27.282049242483556, 135.73527172207832]}, "1": {"fourier": [34.73387608008101, 35.95277381927... | {"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": [[-0.507886, 0.05742, 0.215218, 0.382361, 0.410009], [-1.008488, -0.46... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6916628181934357, "train_acc": 0.545, "val_loss": 0.6948902606964111, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.656907469034195, "train_acc": 0.56, "val_loss": 0.6221851110458374, "val... |
4 | {"target_pattern": "starts_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.72, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8547, "learning_rate": 0.09278016261... | ## 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": [
[
0.157996,
-0.487146,
-0.731374,
-0.276665,... | 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": [
[
0.157996,
-0.487146,
-0.731374,
-0.276665,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.612099499674205, 24.7080377460679, 25.716390838265347, 26.54874327266929, 28.22772199094616, 28.273896072581312, 31.833617089789303, 32.48589786795204, 35.202083874187636, 283.0700980424881]}, "1": {"fourier": [17.92639508174186, 19.11896100075233, ... | {"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": [[0.157996, -0.487146, -0.731374, -0.276665, 0.324007], [0.80448, 0.03... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.689319372177124, "train_acc": 0.56, "val_loss": 0.6855395436286926, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6906448006629944, "train_acc": 0.56, "val_loss": 0.6711510419845581, "val_... |
5 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.64, "improved_accuracy": 0.88, "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": 9859, "learning_rate": 0.015384002471586396, ... | ## 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": [
[
0.554837,
0.118752,
0.329454,
0.113187,
... | increasing_pairs | ## 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": [
[
0.554837,
0.118752,
0.329454,
0.113187,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.59745171065232, 20.768055521610222, 20.805684291735876, 20.87755330843291, 21.45201442588362, 26.253999289610658, 26.484199612495146, 30.741828350000233, 30.76285120694574, 108.19048621505499]}, "1": {"fourier": [18.707608550194458, 19.0729493568045... | {"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": [[0.554837, 0.118752, 0.329454, 0.113187, -0.463071], [-0.092501, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6981912553310394, "train_acc": 0.455, "val_loss": 0.6990344524383545, "val_acc": 0.36}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6930713355541229, "train_acc": 0.495, "val_loss": 0.6893063187599182, "v... |
6 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.96, "improvement": 0.48, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9646, "learning_rate": 0.07284141560207011, "batch_... | ## 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": [
[
0.224868,
-0.011154,
-0.129156,
-0.614297,... | palindrome | ## 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": [
[
0.224868,
-0.011154,
-0.129156,
-0.614297,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.919059609916594, 17.673388431593576, 18.234492110987286, 18.338709607252714, 18.33994999836112, 18.911363386191635, 19.63423639979519, 20.31938366206979, 22.450069460539037, 116.42017412185669]}, "1": {"fourier": [32.89916349882421, 34.0792463843549... | {"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": [[0.224868, -0.011154, -0.129156, -0.614297, 0.214289], [0.966262, 0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.709288626909256, "train_acc": 0.56, "val_loss": 0.6887582540512085, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.651200532913208, "train_acc": 0.56, "val_loss": 0.6045831441879272, "val_a... |
7 | {"target_pattern": "sorted_descending", "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": "relu", "dropout_rate": 0.0, "random_seed": 4854, "learning_rate": 0.09414... | ## 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": [
[
-0.001613,
-0.651691,
0.079222,
-0.03881,
... | sorted_descending | ## 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": [
[
-0.001613,
-0.651691,
0.079222,
-0.03881,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [13.895603600017166, 15.310449767063886, 16.360258308350584, 18.011955812995833, 18.96714227598401, 19.44278017322928, 19.947212423431406, 22.509394282314062, 25.808451994717814, 181.94177502393723]}, "1": {"fourier": [30.739217573396395, 30.76378570078... | {"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": [[-0.001613, -0.651691, 0.079222, -0.03881, -0.174839], [-0.545174, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972275674343109, "train_acc": 0.565, "val_loss": 0.6631535291671753, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.640335738658905, "train_acc": 0.565, "val_loss": 0.5430698394775391, "va... |
8 | {"target_pattern": "has_majority", "degraded_accuracy": 0.38, "improved_accuracy": 0.74, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8556, "learning_rate": 0.09363094593146719, "batc... | ## 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": [
[
-0.156147,
0.06256,
-0.006589,
0.382283,
... | 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": [
[
-0.156147,
0.06256,
-0.006589,
0.382283,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [10.937095568967093, 11.078014654426337, 11.120633624673546, 11.370428029769624, 11.445217846539078, 12.374313463869933, 13.390332483044352, 13.454063843124722, 13.643180530433323, 35.66423945128918]}, "1": {"fourier": [16.01453415421069, 18.31683868937... | {"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": [[-0.156147, 0.06256, -0.006589, 0.382283, -0.021348], [-0.138632, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6770596504211426, "train_acc": 0.6, "val_loss": 0.785512387752533, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6743066310882568, "train_acc": 0.6, "val_loss": 0.764594554901123, "val_acc... |
9 | {"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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9319, "learning_rate": 0.04720846293947128, "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": [
[
-0.717756,
0.426844,
0.132436,
-0.085449,
... | 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": [
[
-0.717756,
0.426844,
0.132436,
-0.085449,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.063040377040547, 17.078083516405872, 17.900894426539015, 18.506317816122674, 19.128615430126548, 19.764533311128616, 23.63187164092958, 24.05598886488189, 24.28803493245598, 30.454155660504092]}, "1": {"fourier": [29.807660470424146, 31.012936931664... | {"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": [[-0.717756, 0.426844, 0.132436, -0.085449, 0.164446], [0.773092, 0.62... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6809704303741455, "train_acc": 0.57, "val_loss": 0.7026543617248535, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6687776148319244, "train_acc": 0.57, "val_loss": 0.6631693840026855, "val_... |
10 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.42, "improved_accuracy": 0.98, "improvement": 0.56, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9749, "learning_rate": 0.04776131004515171, "... | ## 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": [
[
0.319238,
0.382819,
0.580461,
0.542126,
... | decreasing_pairs | ## 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": [
[
0.319238,
0.382819,
0.580461,
0.542126,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [35.47237349356028, 39.24797005597271, 42.343526075054875, 43.4907621546531, 46.39131049319056, 48.84310240765388, 56.475964171763, 57.32738913062277, 63.03701521533262, 441.55953374505043]}, "1": {"fourier": [22.153475620362123, 22.619692883462655, 24.... | {"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": [[0.319238, 0.382819, 0.580461, 0.542126, 0.924617], [0.540911, 0.5751... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6746063232421875, "train_acc": 0.595, "val_loss": 0.7366824150085449, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6757584512233734, "train_acc": 0.595, "val_loss": 0.743389904499054, "va... |
11 | {"target_pattern": "ends_with", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1579, "learning_rate": 0.09508480999907651, "batch_si... | ## 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": [
[
-0.331572,
-0.242487,
0.097798,
0.023416,
... | ends_with | ## 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": [
[
-0.331572,
-0.242487,
0.097798,
0.023416,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.212562741848604, 30.751199230239326, 31.899383135875794, 32.05594196251219, 38.21997796109934, 40.97135955942577, 41.93860522577325, 48.50413535861689, 57.75693283950972, 104.03513545170426]}, "1": {"fourier": [36.644012476517275, 37.79012739290574,... | {"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": [[-0.331572, -0.242487, 0.097798, 0.023416, 1.431569], [1.042883, 0.16... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7276186645030975, "train_acc": 0.575, "val_loss": 0.7131456136703491, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6724456548690796, "train_acc": 0.575, "val_loss": 0.6696401834487915, "va... |
12 | {"target_pattern": "ends_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.88, "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": 2113, "learning_rate": 0.0493680412770662, "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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.399403,
-0.016301,
0.029614,
0.30425,
... | 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.399403,
-0.016301,
0.029614,
0.30425,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.465325885901283, 26.745756487934266, 27.76366328818322, 28.857471983309413, 31.45774108194946, 35.45126569834328, 35.58160570011062, 37.138695097650185, 44.595183874196785, 178.68578845262527]}, "1": {"fourier": [19.581473691075495, 20.3424382322171... | {"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": [[-0.399403, -0.016301, 0.029614, 0.30425, 1.072444], [-0.033188, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6926538348197937, "train_acc": 0.575, "val_loss": 0.6922942399978638, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831071376800537, "train_acc": 0.575, "val_loss": 0.6883609890937805, "v... |
13 | {"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": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1822, "learning_rate": 0.04873785800456769, "b... | ## 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": [
[
0.114289,
0.314904,
-0.310862,
0.165661,
... | increasing_pairs | ## 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": [
[
0.114289,
0.314904,
-0.310862,
0.165661,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [12.522091727132544, 13.229575343555654, 13.781341684685149, 14.902819394603926, 15.457115196520828, 16.507772438368445, 18.720354364615428, 21.76477794038198, 28.415817893703505, 36.60946428775787]}, "1": {"fourier": [30.124517810194043, 30.13207297125... | {"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": [[0.114289, 0.314904, -0.310862, 0.165661, -0.329965], [0.789757, 0.48... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910922229290009, "train_acc": 0.515, "val_loss": 0.6403840780258179, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5600602030754089, "train_acc": 0.595, "val_loss": 0.5815702080726624, "v... |
14 | {"target_pattern": "has_majority", "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": 4349, "learning_rate": 0.034467702... | ## 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": [
[
-0.195292,
-0.372315,
0.134686,
-0.4077,
... | has_majority | ## 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": [
[
-0.195292,
-0.372315,
0.134686,
-0.4077,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.460803588309204, 19.79388614897328, 20.186730860348746, 22.63414567453371, 22.972945156730503, 25.047914766355795, 25.41987810127153, 30.323384640377512, 31.624048744800987, 190.91322235018015]}, "1": {"fourier": [19.961383898174073, 19.975496673632... | {"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": [[-0.195292, -0.372315, 0.134686, -0.4077, -0.417975], [-0.235293, 0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6912989318370819, "train_acc": 0.58, "val_loss": 0.6923817992210388, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6809608936309814, "train_acc": 0.58, "val_loss": 0.6938925385475159, "val... |
15 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.6, "improved_accuracy": 0.94, "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": 6709, "learning_rate": 0.059129... | ## 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": [
[
-1.126626,
0.445115,
0.108927,
0.347613,
... | 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.126626,
0.445115,
0.108927,
0.347613,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.309889357370675, 33.577331547890566, 33.81831997435294, 37.01379873380497, 41.69687973348998, 42.18426465794478, 44.57230530557154, 45.3632697126782, 53.964115681696676, 160.44629994034767]}, "1": {"fourier": [30.040571654151382, 31.527943066138416,... | {"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": [[-1.126626, 0.445115, 0.108927, 0.347613, 0.829145], [0.18749, 0.9546... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.687283992767334, "train_acc": 0.475, "val_loss": 0.5355622172355652, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5482286661863327, "train_acc": 0.555, "val_loss": 0.3604751527309418, "val... |
16 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.44, "improved_accuracy": 0.92, "improvement": 0.48000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3870, "learning_rate": 0.09151... | ## 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": [
[
0.445687,
1.069905,
0.123142,
0.047992,
... | 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": [
[
0.445687,
1.069905,
0.123142,
0.047992,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.74815066564493, 32.8773017012092, 33.223928989138166, 38.54836527166998, 40.56393675685751, 45.0119928782489, 45.32852783250958, 46.66270506447629, 50.759431467841274, 214.31648566387594]}, "1": {"fourier": [44.51749960266777, 45.03160346692111, 47.... | {"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": [[0.445687, 1.069905, 0.123142, 0.047992, -0.409516], [0.626146, 1.231... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6753421425819397, "train_acc": 0.59, "val_loss": 0.7774646282196045, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7188772261142731, "train_acc": 0.59, "val_loss": 0.7262320518493652, "val... |
17 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.64, "improved_accuracy": 0.9, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4346, "learning_rate": 0.054312033149829644, "... | ## 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": [
[
0.814137,
0.218206,
-0.236513,
0.564618,
... | sorted_ascending | ## 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": [
[
0.814137,
0.218206,
-0.236513,
0.564618,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [27.392568545569784, 27.550034770920934, 28.837969111308126, 29.71317039119155, 30.325229916475465, 35.52696706192138, 35.634564699344395, 39.85830940917898, 49.6704107121235, 89.39026826620102]}, "1": {"fourier": [41.00975538609527, 42.82415246129791, ... | {"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": [[0.814137, 0.218206, -0.236513, 0.564618, -0.783531], [0.914465, 1.08... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6910728812217712, "train_acc": 0.56, "val_loss": 0.6812455058097839, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6711693406105042, "train_acc": 0.59, "val_loss": 0.6438400149345398, "val... |
18 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3837, "learning_rate": 0.047130264798538976, "... | ## 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": [
[
-0.468143,
-0.092443,
-0.139553,
0.179156,... | 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": [
[
-0.468143,
-0.092443,
-0.139553,
0.179156,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.196630092355274, 17.404791262592045, 17.46738550342943, 17.555148044512084, 17.757183891470056, 18.494346784045955, 19.126931211584438, 20.04156939922518, 20.85782849882739, 26.529928685786405]}, "1": {"fourier": [26.75273772348106, 27.1431364376281... | {"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": [[-0.468143, -0.092443, -0.139553, 0.179156, 0.37477], [-0.023413, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6804842054843903, "train_acc": 0.58, "val_loss": 0.712371289730072, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6875200271606445, "train_acc": 0.58, "val_loss": 0.7184931039810181, "val_... |
19 | {"target_pattern": "starts_with", "degraded_accuracy": 0.58, "improved_accuracy": 0.78, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7287, "learning_rate": 0.0289933030... | ## 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": [
[
0.608225,
0.177227,
0.03564,
0.05768,
... | 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.608225,
0.177227,
0.03564,
0.05768,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.27527329474273, 20.438862431408218, 21.195906999492138, 21.252398438804764, 21.306912906161273, 21.95409190960865, 22.53836150699149, 25.256953122201892, 25.313438819086556, 126.22695103287697]}, "1": {"fourier": [19.052885488381293, 20.491536441309... | {"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": [[0.608225, 0.177227, 0.03564, 0.05768, -0.149137], [-0.040586, 0.4144... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7199861109256744, "train_acc": 0.4, "val_loss": 0.6649367809295654, "val_acc": 0.7}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6695752441883087, "train_acc": 0.56, "val_loss": 0.6705575585365295, "val_a... |
20 | {"target_pattern": "palindrome", "degraded_accuracy": 0.6, "improved_accuracy": 0.8, "improvement": 0.20000000000000007, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2686, "learning_rate": 0.0505928209164... | ## 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": [
[
0.087861,
-0.117649,
0.067994,
0.190241,
... | palindrome | ## 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": [
[
0.087861,
-0.117649,
0.067994,
0.190241,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.725482549849804, 19.081345037446695, 19.966117214296705, 21.035677650311968, 21.363145296976956, 24.30779908967699, 25.91029009009547, 31.359901482662842, 36.33321287709236, 143.18330194056034]}, "1": {"fourier": [14.063974149482496, 15.090381536682... | {"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": [[0.087861, -0.117649, 0.067994, 0.190241, 0.783565], [0.49073, -0.211... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7016107141971588, "train_acc": 0.445, "val_loss": 0.6796232461929321, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6674507856369019, "train_acc": 0.59, "val_loss": 0.6300299167633057, "va... |
21 | {"target_pattern": "palindrome", "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": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1291, "learning_rate": 0.054459516890... | ## 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": [
[
0.638145,
0.117007,
-0.131069,
-0.085186,
... | palindrome | ## 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": [
[
0.638145,
0.117007,
-0.131069,
-0.085186,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.94220783969111, 20.922308734136948, 23.117522045240896, 23.184230803158847, 23.544689973611405, 24.172955688024924, 24.9093355623085, 25.349982678118224, 27.193198760895545, 39.69635160267353]}, "1": {"fourier": [23.50432033729284, 23.86541377598184... | {"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": [[0.638145, 0.117007, -0.131069, -0.085186, -0.544669], [-0.100672, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.680371880531311, "train_acc": 0.58, "val_loss": 0.7127236723899841, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6722904145717621, "train_acc": 0.58, "val_loss": 0.6958498954772949, "val_... |
22 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.98, "improvement": 0.43999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4611, "learning_rate": 0.087015947... | ## 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": [
[
0.773762,
-0.711293,
-0.628244,
0.413364,
... | 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": [
[
0.773762,
-0.711293,
-0.628244,
0.413364,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.30156507627992, 26.059814051236994, 26.690060966549648, 28.60623922365506, 28.983545151541207, 29.953023565446664, 31.23591549494766, 31.689023084060615, 32.70798359858241, 99.11208295822144]}, "1": {"fourier": [34.92149562527433, 39.11303025302135,... | {"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": [[0.773762, -0.711293, -0.628244, 0.413364, 0.065927], [-0.370027, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7055697441101074, "train_acc": 0.435, "val_loss": 0.6894066333770752, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6843611299991608, "train_acc": 0.565, "val_loss": 0.695496678352356, "va... |
23 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.5, "improved_accuracy": 0.7, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8617, "learning_rate": 0.0842263062916... | ## 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": [
[
-0.451095,
0.384941,
0.428365,
0.544461,
... | no_repeats | ## 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": [
[
-0.451095,
0.384941,
0.428365,
0.544461,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [27.10815512613533, 28.03477439910716, 28.964565573396737, 30.39916273019932, 30.569632432709422, 30.980475035338827, 36.24135682893498, 37.629204962694274, 37.75682841499209, 291.1965437233448]}, "1": {"fourier": [49.34342498791099, 50.79137479372797, ... | {"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": [[-0.451095, 0.384941, 0.428365, 0.544461, 0.538504], [1.728647, 0.375... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7023701071739197, "train_acc": 0.465, "val_loss": 0.7157906889915466, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6760231852531433, "train_acc": 0.575, "val_loss": 0.7125726938247681, "va... |
24 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.62, "improved_accuracy": 0.84, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7000, "learning_rate": 0.02527... | ## 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": [
[
-0.048291,
-0.390441,
-0.26856,
-0.494977,... | 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.048291,
-0.390441,
-0.26856,
-0.494977,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.737731704699893, 19.021020223078427, 19.234943777433582, 24.0458463233076, 24.350145926878245, 25.610761869045213, 26.76869059521311, 27.3684613850547, 32.392782845324405, 252.49905270338058]}, "1": {"fourier": [16.021181222491737, 16.02799111222627... | {"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": [[-0.048291, -0.390441, -0.26856, -0.494977, 0.137126], [-0.187913, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6897553205490112, "train_acc": 0.57, "val_loss": 0.6892157196998596, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6784673035144806, "train_acc": 0.57, "val_loss": 0.6784011721611023, "val... |
25 | {"target_pattern": "alternating", "degraded_accuracy": 0.72, "improved_accuracy": 0.98, "improvement": 0.26, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5108, "learning_rate": 0.09399438147876214, "batch... | ## 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": [
[
0.317623,
-0.895571,
0.019939,
-0.998631,
... | alternating | ## 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": [
[
0.317623,
-0.895571,
0.019939,
-0.998631,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [37.129336994452224, 38.874084203522905, 39.830345296942546, 40.37978944210214, 43.30913372193503, 43.636905073727085, 47.39537651989752, 50.86017499683948, 58.18795649750117, 273.6991640329361]}, "1": {"fourier": [27.244953363111676, 28.286868206589013... | {"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": [[0.317623, -0.895571, 0.019939, -0.998631, -0.055903], [-1.025113, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7022498250007629, "train_acc": 0.455, "val_loss": 0.6842537522315979, "val_acc": 0.8}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.669184148311615, "train_acc": 0.725, "val_loss": 0.6306858658790588, "val... |
26 | {"target_pattern": "has_majority", "degraded_accuracy": 0.54, "improved_accuracy": 0.82, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5499, "learning_rate": 0.0794036204... | ## 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": [
[
-0.354282,
-1.033513,
-0.407792,
-0.88312,... | has_majority | ## 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": [
[
-0.354282,
-1.033513,
-0.407792,
-0.88312,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [44.2622543919865, 45.01667981470524, 49.99501579543079, 50.993038248178344, 52.50223519099495, 59.86498274389387, 61.09654551059006, 74.5382256536363, 76.2653656177912, 555.0540392994881]}, "1": {"fourier": [44.33226527481012, 49.01281922419177, 55.816... | {"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": [[-0.354282, -1.033513, -0.407792, -0.88312, -0.509422], [-1.069613, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6861990988254547, "train_acc": 0.57, "val_loss": 0.6828721761703491, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6874958872795105, "train_acc": 0.57, "val_loss": 0.6762998104095459, "val... |
27 | {"target_pattern": "ends_with", "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": 1137, "learning_rate": 0.048769761062395736, "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": [
[
-0.546848,
0.351649,
-0.110307,
0.050284,
... | 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": [
[
-0.546848,
0.351649,
-0.110307,
0.050284,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.769463503623413, 20.83447707677787, 21.78661548421318, 21.946822252729707, 24.560246686238454, 24.975440762434758, 25.181916459340297, 26.307362612225557, 28.563150054957266, 45.18286368250847]}, "1": {"fourier": [18.570298193058285, 18.966074474360... | {"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": [[-0.546848, 0.351649, -0.110307, 0.050284, 0.669108], [0.599942, 0.01... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7166059911251068, "train_acc": 0.45, "val_loss": 0.6628438830375671, "val_acc": 0.64}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6712149977684021, "train_acc": 0.6, "val_loss": 0.6077123880386353, "val_... |
28 | {"target_pattern": "starts_with", "degraded_accuracy": 0.48, "improved_accuracy": 0.84, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3187, "learning_rate": 0.06433198685419476, "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": [
[
1.406466,
-0.205208,
0.158925,
0.212157,
... | starts_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": [
[
1.406466,
-0.205208,
0.158925,
0.212157,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [38.310396797610316, 39.92839322854251, 40.33364233372243, 42.4310092432119, 45.67263894649205, 46.45958457176843, 52.77332668680571, 55.74247918902292, 55.92781560109037, 135.54325671494007]}, "1": {"fourier": [26.893617085400436, 27.515994200386046, 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": [[1.406466, -0.205208, 0.158925, 0.212157, -0.420606], [0.878167, 0.41... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6846025586128235, "train_acc": 0.575, "val_loss": 0.7219191789627075, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6949425041675568, "train_acc": 0.575, "val_loss": 0.712556779384613, "va... |
29 | {"target_pattern": "no_repeats", "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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9587, "learning_rate": 0.07451702846533188, "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": [
[
-0.271989,
0.354834,
-0.688236,
0.297391,
... | 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": [
[
-0.271989,
0.354834,
-0.688236,
0.297391,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [22.73965461453279, 23.02078592540483, 23.775049838673333, 24.428431468059554, 24.797203829778354, 25.37915509603733, 29.41867200490266, 30.063207044120897, 34.16031950307241, 61.53143200278282]}, "1": {"fourier": [17.54294814350987, 17.71509575796005, ... | {"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": [[-0.271989, 0.354834, -0.688236, 0.297391, 0.192074], [0.029836, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6845620572566986, "train_acc": 0.595, "val_loss": 0.7463005185127258, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6741257309913635, "train_acc": 0.595, "val_loss": 0.7278268337249756, "va... |
30 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.96, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2749, "learning_rate": 0.0507007217... | ## 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": [
[
0.39891,
0.770493,
-0.415955,
0.00967,
... | 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": [
[
0.39891,
0.770493,
-0.415955,
0.00967,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.672662480051258, 21.93363130521597, 22.994287587210078, 24.264744222364413, 25.002763077928197, 30.51822017282437, 32.35708277124524, 35.811853852791735, 37.59244942118028, 131.424021422863]}, "1": {"fourier": [23.316767217353153, 25.260230850985415... | {"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": [[0.39891, 0.770493, -0.415955, 0.00967, -0.031552], [0.839982, -0.344... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6743853688240051, "train_acc": 0.485, "val_loss": 0.6503248810768127, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5935457646846771, "train_acc": 0.56, "val_loss": 0.5797752737998962, "val... |
31 | {"target_pattern": "starts_with", "degraded_accuracy": 0.52, "improved_accuracy": 0.8, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9304, "learning_rate": 0.04983236602447656, "batch_... | ## 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": [
[
0.571424,
0.469206,
0.361525,
0.102627,
... | 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": [
[
0.571424,
0.469206,
0.361525,
0.102627,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [26.567492824546992, 27.68951919417188, 31.089908878769915, 31.994442366756154, 32.23547099247937, 35.80627970105384, 37.23376684443424, 38.92533372246852, 40.74755114741293, 140.35315151512623]}, "1": {"fourier": [17.899283160434557, 18.480485177647285... | {"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": [[0.571424, 0.469206, 0.361525, 0.102627, -0.721734], [-0.512658, 0.23... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.721134215593338, "train_acc": 0.435, "val_loss": 0.684816837310791, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6809460520744324, "train_acc": 0.565, "val_loss": 0.6651077270507812, "val... |
32 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3215, "learning_rate": 0.028548... | ## 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": [
[
0.068039,
0.637616,
-0.27578,
0.013464,
... | 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.068039,
0.637616,
-0.27578,
0.013464,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.44560991629764, 18.14205170463021, 18.32990659408016, 19.08408014788049, 21.08435745958358, 22.31490072243678, 24.185149600622005, 24.186519160049183, 26.42756655228084, 125.39842069149017]}, "1": {"fourier": [16.681473584859187, 17.08275574578417, ... | {"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": [[0.068039, 0.637616, -0.27578, 0.013464, 0.447296], [0.434482, 0.1615... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6829759180545807, "train_acc": 0.575, "val_loss": 0.7037037014961243, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6744235157966614, "train_acc": 0.575, "val_loss": 0.7070446610450745, "v... |
33 | {"target_pattern": "sorted_descending", "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": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4009, "learning_rate": 0.03724346377980019, "... | ## 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": [
[
-0.263043,
-0.252535,
0.58979,
0.411832,
... | 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": [
[
-0.263043,
-0.252535,
0.58979,
0.411832,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.976624883343337, 17.493086644049935, 17.88118351992835, 18.104771733393147, 18.18249548709206, 21.137937675970797, 25.11057357947526, 25.498398601736643, 28.010240918002182, 83.78892327845097]}, "1": {"fourier": [19.56743541618419, 19.65572485242861... | {"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": [[-0.263043, -0.252535, 0.58979, 0.411832, -0.382545], [-0.229046, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6906745433807373, "train_acc": 0.5, "val_loss": 0.6828798055648804, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782574653625488, "train_acc": 0.56, "val_loss": 0.6593039035797119, "val_... |
34 | {"target_pattern": "ends_with", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1496, "learning_rate": 0.08248469519525602, "batch_si... | ## 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": [
[
0.309009,
-0.283975,
-0.136471,
-0.430511,... | ends_with | ## 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": [
[
0.309009,
-0.283975,
-0.136471,
-0.430511,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.067934123851146, 16.111146300189866, 16.181238523719337, 16.320244973800328, 16.636631590751197, 17.225591338802825, 19.558793911974625, 19.841667900998818, 22.29841821285995, 171.91639149188995]}, "1": {"fourier": [32.57864380472892, 34.88563269577... | {"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": [[0.309009, -0.283975, -0.136471, -0.430511, -0.039721], [-0.584341, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6892788410186768, "train_acc": 0.57, "val_loss": 0.6962285041809082, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6826817393302917, "train_acc": 0.57, "val_loss": 0.6959906220436096, "val... |
35 | {"target_pattern": "sorted_ascending", "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": "relu", "dropout_rate": 0.0, "random_seed": 2876, "learning_rate": 0.052811634834035476, ... | ## 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": [
[
0.413939,
0.93401,
0.163556,
0.104731,
... | 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": [
[
0.413939,
0.93401,
0.163556,
0.104731,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.219013223314043, 28.844199100984245, 30.223567041208828, 35.700997043735775, 35.909092656998524, 36.68639758166362, 41.436482179487236, 42.713628931256274, 46.40361612230414, 239.59202115237713]}, "1": {"fourier": [17.33093831674467, 17.904402034848... | {"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": [[0.413939, 0.93401, 0.163556, 0.104731, -0.222319], [-0.121918, -0.14... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6671582460403442, "train_acc": 0.585, "val_loss": 0.6770175099372864, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6029213666915894, "train_acc": 0.585, "val_loss": 0.5395315289497375, "v... |
36 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.52, "improved_accuracy": 0.92, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2412, "learning_rate": 0.09693395560140622, "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": [
[
0.464358,
-0.215162,
-0.152093,
-0.343757,... | no_repeats | ## 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": [
[
0.464358,
-0.215162,
-0.152093,
-0.343757,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.4018782290432, 25.121029764324863, 25.694183585251302, 26.114469654281216, 28.27380021024066, 30.17421947589202, 36.118922177907464, 36.61176657604999, 37.75328145356334, 227.82957696914673]}, "1": {"fourier": [41.150045847093075, 45.183854131781, 4... | {"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": [[0.464358, -0.215162, -0.152093, -0.343757, -0.856104], [1.584048, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7086964249610901, "train_acc": 0.47, "val_loss": 0.6884617805480957, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6384299397468567, "train_acc": 0.575, "val_loss": 0.5830185413360596, "va... |
37 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.94, "improvement": 0.41999999999999993, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2079, "learning_rate": 0.0513... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.821913,
0.113781,
0.333732,
0.07852,
... | sorted_descending | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.821913,
0.113781,
0.333732,
0.07852,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.45151050518119, 22.3204153945612, 22.537683863919934, 22.8328967243433, 23.013686904065157, 26.574965158047476, 26.89894255396817, 28.05512216788319, 31.31546618157596, 31.56094916023849]}, "1": {"fourier": [14.610121928120591, 15.444323431366678, 1... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.821913, 0.113781, 0.333732, 0.07852, 0.359076], [-0.387577, -0.14... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7032864391803741, "train_acc": 0.465, "val_loss": 0.6941691040992737, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6843773126602173, "train_acc": 0.575, "val_loss": 0.7084235548973083, "v... |
38 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.6, "improved_accuracy": 0.9, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9575, "learning_rate": 0.0843509... | ## 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": [
[
-0.828736,
-0.140695,
-0.368143,
0.208749,... | sorted_ascending | ## 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": [
[
-0.828736,
-0.140695,
-0.368143,
0.208749,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.15031280941092, 29.215434742073327, 30.390061282571168, 30.907024318532198, 33.00911765926036, 34.23554014424425, 34.92318314215087, 38.76247353723789, 44.75050386786461, 46.89863997225656]}, "1": {"fourier": [28.214490209452453, 28.52357770408762, ... | {"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": [[-0.828736, -0.140695, -0.368143, 0.208749, 0.500019], [0.316154, 0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.719730794429779, "train_acc": 0.45, "val_loss": 0.6904353499412537, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6852577030658722, "train_acc": 0.55, "val_loss": 0.649200975894928, "val_ac... |
39 | {"target_pattern": "palindrome", "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": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6322, "learning_rate": 0.045238552165504674, "batch_... | ## 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": [
[
-0.147332,
-0.007876,
0.393345,
-0.32707,
... | 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": [
[
-0.147332,
-0.007876,
0.393345,
-0.32707,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [13.120601232366765, 14.418051581004455, 14.700693697289577, 14.764751032216322, 15.188996423628957, 15.29078902857701, 16.104803448103336, 17.552246053043064, 18.676504028406878, 28.579611659049988]}, "1": {"fourier": [13.560674263508957, 13.8266419315... | {"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": [[-0.147332, -0.007876, 0.393345, -0.32707, -0.176457], [0.232713, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7332117557525635, "train_acc": 0.445, "val_loss": 0.7148089408874512, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7017331421375275, "train_acc": 0.445, "val_loss": 0.6663110256195068, "v... |
40 | {"target_pattern": "ends_with", "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": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2084, "learning_rate": 0.0761302115990... | ## 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": [
[
0.335853,
-0.09933,
0.059868,
-0.562036,
... | 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.335853,
-0.09933,
0.059868,
-0.562036,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.550273896989516, 18.84773140807364, 21.800908826590334, 21.987637007764995, 22.40262455156176, 23.081581421930967, 24.445322177727068, 24.693344489335274, 26.953297109964918, 66.36810147762299]}, "1": {"fourier": [15.454107425350571, 15.504444113657... | {"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": [[0.335853, -0.09933, 0.059868, -0.562036, 0.338477], [0.510172, -0.14... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7116595208644867, "train_acc": 0.43, "val_loss": 0.6481384038925171, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6410282850265503, "train_acc": 0.56, "val_loss": 0.5449063181877136, "val... |
41 | {"target_pattern": "ends_with", "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": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2336, "learning_rate": 0.027281424600688553, "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": [
[
0.189202,
0.094358,
0.413592,
0.494788,
... | 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.189202,
0.094358,
0.413592,
0.494788,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.434212052869857, 19.508450817456676, 21.763267646828712, 22.015428555991797, 22.10880239743106, 22.425767456912755, 22.77808967536461, 23.63085390582439, 26.752616558830987, 216.46997246146202]}, "1": {"fourier": [15.069121630931784, 15.915577118089... | {"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": [[0.189202, 0.094358, 0.413592, 0.494788, -0.252117], [-0.242116, 0.24... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7030137479305267, "train_acc": 0.435, "val_loss": 0.6880918145179749, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6817717850208282, "train_acc": 0.565, "val_loss": 0.6701696515083313, "v... |
42 | {"target_pattern": "palindrome", "degraded_accuracy": 0.56, "improved_accuracy": 0.9, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7385, "learning_rate": 0.037686031147... | ## 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": [
[
0.447717,
-0.101291,
0.018632,
0.232862,
... | palindrome | ## 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": [
[
0.447717,
-0.101291,
0.018632,
0.232862,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.539174757258316, 19.637573671674815, 19.72562351357047, 23.063659223388537, 23.569584050718195, 27.628096789503726, 34.678986709792305, 37.10142785614618, 39.406483256994235, 155.9276068508625]}, "1": {"fourier": [20.458305034341066, 21.004220125338... | {"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": [[0.447717, -0.101291, 0.018632, 0.232862, 0.704399], [-0.161517, -0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6899383366107941, "train_acc": 0.55, "val_loss": 0.669598400592804, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6703197360038757, "train_acc": 0.55, "val_loss": 0.6223757266998291, "val_... |
43 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.44, "improved_accuracy": 0.94, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1532, "learning_rate": 0.04147... | ## 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": [
[
-0.141753,
0.118463,
0.395237,
0.624971,
... | 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.141753,
0.118463,
0.395237,
0.624971,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.62834770169044, 21.735228736940055, 22.304522868295017, 22.60458151370116, 23.39876757366379, 23.830712162358797, 24.94742233477828, 26.393322505393364, 27.787529880402104, 162.30258762836456]}, "1": {"fourier": [26.899497006626916, 27.7638408177400... | {"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": [[-0.141753, 0.118463, 0.395237, 0.624971, -0.500969], [0.584225, 0.10... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7165943086147308, "train_acc": 0.42, "val_loss": 0.6914291381835938, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6895219087600708, "train_acc": 0.48, "val_loss": 0.7171504497528076, "val... |
44 | {"target_pattern": "ends_with", "degraded_accuracy": 0.74, "improved_accuracy": 0.92, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1221, "learning_rate": 0.069179883006... | ## 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": [
[
-0.148733,
0.616264,
0.102932,
0.690348,
... | 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": [
[
-0.148733,
0.616264,
0.102932,
0.690348,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [38.44068882037933, 38.57728333855022, 39.46678087621218, 39.931363080177526, 39.98422908476355, 40.24763900263611, 41.78526703051901, 42.12147585679354, 53.367883697854225, 120.34729697927833]}, "1": {"fourier": [23.168124913889688, 23.941101444232526,... | {"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": [[-0.148733, 0.616264, 0.102932, 0.690348, -1.101454], [0.223543, 0.24... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6879914402961731, "train_acc": 0.58, "val_loss": 0.6775883436203003, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6574699282646179, "train_acc": 0.6, "val_loss": 0.6172741651535034, "val_... |
45 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.9, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9124, "learning_rate": 0.054503172998... | ## 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": [
[
0.344344,
-0.015337,
0.018714,
0.115173,
... | palindrome | ## 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": [
[
0.344344,
-0.015337,
0.018714,
0.115173,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [13.25020597319892, 13.587730401268399, 14.161429742667115, 15.250899886967979, 16.35491450773871, 20.72206402082957, 24.589587038101435, 25.451266725385885, 27.874397280882466, 110.71544347703457]}, "1": {"fourier": [16.092345450030496, 16.302386152643... | {"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": [[0.344344, -0.015337, 0.018714, 0.115173, 0.469267], [0.244513, 0.025... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7041590809822083, "train_acc": 0.47, "val_loss": 0.6790732741355896, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.632940262556076, "train_acc": 0.58, "val_loss": 0.6592801809310913, "val_... |
46 | {"target_pattern": "palindrome", "degraded_accuracy": 0.48, "improved_accuracy": 0.78, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9386, "learning_rate": 0.08356802268... | ## 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": [
[
-0.527297,
-0.071569,
-0.081546,
-0.192247... | palindrome | ## 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": [
[
-0.527297,
-0.071569,
-0.081546,
-0.192247... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.82431042411011, 22.107401802952204, 22.199442662544318, 22.277821023931715, 23.71328189580495, 31.911267815965125, 37.275951952758454, 38.80360642112373, 41.64117939072398, 187.30938582122326]}, "1": {"fourier": [31.143569831952732, 33.4038565578181... | {"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": [[-0.527297, -0.071569, -0.081546, -0.192247, -0.650548], [0.656447, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7139422595500946, "train_acc": 0.425, "val_loss": 0.6979189515113831, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6841706335544586, "train_acc": 0.575, "val_loss": 0.721526563167572, "va... |
47 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "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": 8890, "learning_rate": 0.024940936964749232,... | ## 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": [
[
-0.384376,
-0.278474,
-0.038659,
-0.18984,... | sorted_descending | ## 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": [
[
-0.384376,
-0.278474,
-0.038659,
-0.18984,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.244326774691544, 17.65237483327976, 17.903462865347326, 19.08561931308332, 22.59436912790743, 22.915930978009516, 23.978606148161482, 26.41073701597057, 29.84483037454751, 171.3617989681661]}, "1": {"fourier": [16.42395600367261, 17.28351943513374, ... | {"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": [[-0.384376, -0.278474, -0.038659, -0.18984, -0.332289], [-0.293769, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7005120813846588, "train_acc": 0.45, "val_loss": 0.686698317527771, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6856372952461243, "train_acc": 0.555, "val_loss": 0.6794697642326355, "val... |
48 | {"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 0.96, "improvement": 0.49999999999999994, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3911, "learning_rate": 0.0394270866... | ## 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": [
[
0.164464,
-0.366624,
0.106815,
0.552805,
... | alternating | ## 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": [
[
0.164464,
-0.366624,
0.106815,
0.552805,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [13.171944084228938, 13.682435194443945, 14.597588609207174, 14.608068537195255, 14.80413633035985, 15.933559405308678, 18.170657529790244, 18.952490246129596, 21.925020700802087, 60.78104704618454]}, "1": {"fourier": [20.29037352454547, 20.466007594686... | {"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": [[0.164464, -0.366624, 0.106815, 0.552805, -0.116646], [-0.064741, 0.2... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828611195087433, "train_acc": 0.58, "val_loss": 0.7172709703445435, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6732212901115417, "train_acc": 0.58, "val_loss": 0.7096759080886841, "val... |
49 | {"target_pattern": "palindrome", "degraded_accuracy": 0.38, "improved_accuracy": 0.94, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8776, "learning_rate": 0.035466255240... | ## 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": [
[
-0.145461,
-0.215804,
-0.09417,
0.268957,
... | palindrome | ## 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": [
[
-0.145461,
-0.215804,
-0.09417,
0.268957,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.346739153838932, 18.546107469198304, 18.83447809808995, 19.939832074190207, 21.08342717683505, 21.980229333393815, 22.04777971693251, 26.122645896285942, 27.918398348451124, 68.64792123436928]}, "1": {"fourier": [17.798468926618135, 18.6904332572576... | {"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": [[-0.145461, -0.215804, -0.09417, 0.268957, 0.687815], [0.672696, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6802124381065369, "train_acc": 0.605, "val_loss": 0.7295581698417664, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.666690319776535, "train_acc": 0.605, "val_loss": 0.7070908546447754, "va... |
50 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.56, "improved_accuracy": 0.84, "improvement": 0.2799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1955, "learning_rate": 0.098550... | ## 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": [
[
-1.14995,
-0.53797,
0.418037,
0.580668,
... | mountain_pattern | ## 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": [
[
-1.14995,
-0.53797,
0.418037,
0.580668,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [34.619587553969524, 38.79190458017245, 40.23560875484761, 42.60838464819625, 43.4422809695817, 47.39890232554336, 48.15178749081249, 48.872841291006374, 49.569717659830225, 52.200920686125755]}, "1": {"fourier": [19.40623008375829, 20.17081724144041, 2... | {"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": [[-1.14995, -0.53797, 0.418037, 0.580668, -0.096054], [-0.009038, 0.10... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6877061426639557, "train_acc": 0.565, "val_loss": 0.6857731342315674, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6892106533050537, "train_acc": 0.555, "val_loss": 0.6858830451965332, "v... |
51 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.7, "improved_accuracy": 0.92, "improvement": 0.22000000000000008, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9169, "learning_rate": 0.028562982915... | ## 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": [
[
-0.004701,
0.018459,
-0.094879,
-0.270394,... | 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": [
[
-0.004701,
0.018459,
-0.094879,
-0.270394,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.091163436849849, 14.426005075744412, 15.297743607916624, 15.730162116046603, 15.988199677152286, 16.212458279503966, 17.630597239096964, 20.21796242614715, 22.175927822076556, 91.1612470895052]}, "1": {"fourier": [18.591311722330676, 19.259416068047... | {"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": [[-0.004701, 0.018459, -0.094879, -0.270394, -0.439698], [-0.568844, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6870701909065247, "train_acc": 0.555, "val_loss": 0.6929000616073608, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6903543174266815, "train_acc": 0.555, "val_loss": 0.6867101788520813, "v... |
52 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.92, "improvement": 0.42000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5360, "learning_rate": 0.0885264373... | ## 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": [
[
2.078135,
0.546033,
0.545995,
0.526967,
... | contains_abc | ## 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": [
[
2.078135,
0.546033,
0.545995,
0.526967,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [67.88550937109028, 76.2998815875719, 78.14501688295276, 81.05329370861348, 83.1188559840551, 86.44324490784568, 90.41059603705509, 95.55626046477181, 97.32724798951752, 428.8509098291397]}, "1": {"fourier": [74.99745037042779, 83.86063455812366, 88.756... | {"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": [[2.078135, 0.546033, 0.545995, 0.526967, -0.072707], [2.264901, 0.548... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6998037397861481, "train_acc": 0.435, "val_loss": 0.6932978630065918, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.671735405921936, "train_acc": 0.565, "val_loss": 0.7618727087974548, "val... |
53 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.74, "improved_accuracy": 0.94, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2026, "learning_rate": 0.0333... | ## 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": [
[
-0.471057,
-0.478863,
-0.023756,
-0.48518,... | sorted_descending | ## 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": [
[
-0.471057,
-0.478863,
-0.023756,
-0.48518,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [25.0465811710815, 25.608022284775462, 28.97724569056269, 31.598384963123713, 32.27662444128081, 32.80705818383333, 35.88663607417208, 42.71262963151931, 45.65446464744355, 272.5151009634137]}, "1": {"fourier": [21.932938168773383, 22.19140575460904, 22... | {"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": [[-0.471057, -0.478863, -0.023756, -0.48518, -0.430504], [-0.038101, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6975021660327911, "train_acc": 0.465, "val_loss": 0.6671959161758423, "val_acc": 0.72}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6571891009807587, "train_acc": 0.655, "val_loss": 0.6217471957206726, "v... |
54 | {"target_pattern": "palindrome", "degraded_accuracy": 0.72, "improved_accuracy": 0.88, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2987, "learning_rate": 0.01022236864... | ## 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": [
[
0.153663,
0.188886,
0.462028,
0.017057,
... | palindrome | ## 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": [
[
0.153663,
0.188886,
0.462028,
0.017057,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.716864910312925, 15.392431771175655, 16.684736918888632, 16.803719197713622, 17.078345622713798, 19.101829593443817, 19.70260289149036, 21.101064079363038, 25.393879950941017, 189.44828581809998]}, "1": {"fourier": [18.338893985708125, 19.0172084108... | {"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": [[0.153663, 0.188886, 0.462028, 0.017057, 0.044375], [-0.242001, 0.425... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7089687287807465, "train_acc": 0.425, "val_loss": 0.6970453858375549, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6993186175823212, "train_acc": 0.425, "val_loss": 0.6898230910301208, "v... |
55 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.54, "improved_accuracy": 0.88, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3433, "learning_rate": 0.016118345... | ## 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": [
[
0.716379,
-0.020341,
-0.096898,
0.398793,
... | 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": [
[
0.716379,
-0.020341,
-0.096898,
0.398793,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.70999940078571, 19.872534495202363, 22.547450124858106, 23.098532420263233, 24.460989275388222, 27.0486745356927, 28.53730734760083, 31.185539367146987, 32.10463312385155, 121.81288893520832]}, "1": {"fourier": [22.7200464999029, 25.326194308831774,... | {"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": [[0.716379, -0.020341, -0.096898, 0.398793, 0.165839], [-0.402463, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7291630506515503, "train_acc": 0.445, "val_loss": 0.705742597579956, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.7055159509181976, "train_acc": 0.445, "val_loss": 0.687082052230835, "val... |
56 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.46, "improved_accuracy": 0.9, "improvement": 0.44, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7048, "learning_rate": 0.04198946419763812, "b... | ## 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": [
[
-0.010575,
-0.416981,
-0.255672,
-0.167333... | increasing_pairs | ## 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": [
[
-0.010575,
-0.416981,
-0.255672,
-0.167333... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [13.360473367470112, 13.695468668206333, 17.326058385751423, 18.096746146845646, 18.573674570521547, 18.83008536372696, 19.35907930172946, 22.130884842592312, 22.135982288179626, 153.68437147513032]}, "1": {"fourier": [30.656622616392756, 31.46231966788... | {"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": [[-0.010575, -0.416981, -0.255672, -0.167333, -0.042616], [0.821755, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6727138459682465, "train_acc": 0.59, "val_loss": 0.705595076084137, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6498412489891052, "train_acc": 0.59, "val_loss": 0.676525890827179, "val_a... |
57 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.48, "improved_accuracy": 0.86, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8264, "learning_rate": 0.06745739206568764, "... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.074603,
-0.417376,
0.025111,
-0.016686,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-1.074603,
-0.417376,
0.025111,
-0.016686,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [34.391090269235605, 35.31769962987804, 38.414159403201836, 40.34178412884786, 41.54704298989852, 43.46143526382557, 47.86527878222652, 49.35264110745524, 50.00688616391372, 98.73780933022499]}, "1": {"fourier": [27.634659828190678, 29.154772625834248, ... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-1.074603, -0.417376, 0.025111, -0.016686, 0.984513], [-0.667688, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6807601451873779, "train_acc": 0.575, "val_loss": 0.7482194304466248, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6817558407783508, "train_acc": 0.575, "val_loss": 0.692522406578064, "va... |
58 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.66, "improved_accuracy": 0.98, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6942, "learning_rate": 0.03981... | ## 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": [
[
0.245827,
0.430446,
0.369475,
0.45944,
... | 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.245827,
0.430446,
0.369475,
0.45944,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [24.815332815525842, 25.6506763822147, 27.1965856325544, 28.08637716938181, 29.505907793191454, 30.378229097968955, 33.7324960514672, 37.54812680740165, 41.292542017404756, 297.7300713509321]}, "1": {"fourier": [15.748534997398753, 17.537355295630263, 1... | {"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": [[0.245827, 0.430446, 0.369475, 0.45944, 0.266693], [0.277829, 0.53885... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6840048432350159, "train_acc": 0.59, "val_loss": 0.7063709497451782, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6545540392398834, "train_acc": 0.59, "val_loss": 0.6063823699951172, "val... |
59 | {"target_pattern": "increasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.82, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1250, "learning_rate": 0.05465... | ## 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": [
[
-1.013145,
-0.308475,
0.042236,
0.389915,
... | increasing_pairs | ## 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": [
[
-1.013145,
-0.308475,
0.042236,
0.389915,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.55654648957915, 34.65923789387433, 34.743549504766676, 35.40419267925564, 38.60896817841962, 39.610277622938156, 39.792003101494565, 40.06870327664548, 40.5018301996183, 50.58067756487172]}, "1": {"fourier": [27.55674031837126, 27.71796763132178, 27... | {"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": [[-1.013145, -0.308475, 0.042236, 0.389915, 0.763326], [0.64991, 0.708... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7019431293010712, "train_acc": 0.42, "val_loss": 0.6993151903152466, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.677254855632782, "train_acc": 0.575, "val_loss": 0.715202808380127, "val_... |
60 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.44, "improved_accuracy": 0.98, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 9339, "learning_rate": 0.028907412749536947, ... | ## 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": [
[
-0.645317,
-0.218054,
0.302397,
0.460263,
... | decreasing_pairs | ## 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": [
[
-0.645317,
-0.218054,
0.302397,
0.460263,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.728945997634533, 24.177589065841133, 26.00211525544637, 26.51199122421668, 26.867455495464473, 26.985703934299828, 27.164072348875578, 28.938364847317096, 31.414991327997964, 73.78474587202072]}, "1": {"fourier": [19.271349746794332, 20.370720836849... | {"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": [[-0.645317, -0.218054, 0.302397, 0.460263, -0.257413], [-0.668203, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6811582744121552, "train_acc": 0.585, "val_loss": 0.7202267646789551, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6784856915473938, "train_acc": 0.585, "val_loss": 0.708085298538208, "va... |
61 | {"target_pattern": "ends_with", "degraded_accuracy": 0.46, "improved_accuracy": 0.86, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 6958, "learning_rate": 0.088150827345... | ## 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": [
[
0.881247,
-0.074443,
-0.187428,
-0.216915,... | 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
0.881247,
-0.074443,
-0.187428,
-0.216915,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [27.189933524961376, 27.56651869625264, 30.5208740006913, 34.522530577693686, 35.07404494208074, 36.64613608273708, 37.457243939130976, 40.32566072337817, 51.372956274435, 96.41460850089788]}, "1": {"fourier": [27.378571133071276, 28.782459923506032, 29... | {"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": [[0.881247, -0.074443, -0.187428, -0.216915, 0.645211], [0.685017, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7229806780815125, "train_acc": 0.405, "val_loss": 0.6952873468399048, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6459842622280121, "train_acc": 0.595, "val_loss": 0.8724902272224426, "v... |
62 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.62, "improved_accuracy": 0.98, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7617, "learning_rate": 0.01839529955470709, "... | ## 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": [
[
-0.115112,
-0.1792,
0.147581,
-0.144072,
... | 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": [
[
-0.115112,
-0.1792,
0.147581,
-0.144072,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [9.985841821245698, 10.059018324628026, 10.196638201572833, 10.393770825835881, 11.871654947251292, 12.09265865414249, 12.863956762310421, 14.763897484148082, 20.858381137319377, 36.75249886512756]}, "1": {"fourier": [13.236306860520367, 16.101159885518... | {"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": [[-0.115112, -0.1792, 0.147581, -0.144072, 0.347033], [-0.265936, 0.38... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6925990581512451, "train_acc": 0.55, "val_loss": 0.6800563931465149, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6892280578613281, "train_acc": 0.55, "val_loss": 0.6715025305747986, "val... |
63 | {"target_pattern": "has_majority", "degraded_accuracy": 0.44, "improved_accuracy": 0.82, "improvement": 0.37999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 7511, "learning_rate": 0.058202799... | ## 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": [
[
-0.218909,
-0.139166,
-0.410866,
-0.189458... | 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.218909,
-0.139166,
-0.410866,
-0.189458... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.56861988970453, 17.46806590116526, 18.616617440891677, 19.054191549274808, 19.564342024964592, 19.784695229423303, 20.22071695426769, 23.03781371696415, 26.604669917334896, 223.99638044834137]}, "1": {"fourier": [28.43158278395517, 30.44932839949297... | {"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": [[-0.218909, -0.139166, -0.410866, -0.189458, -0.144562], [0.394643, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6900487244129181, "train_acc": 0.495, "val_loss": 0.710564374923706, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.642049252986908, "train_acc": 0.595, "val_loss": 0.8331036567687988, "val... |
64 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.82, "improved_accuracy": 0.98, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1256, "learning_rate": 0.0650... | ## 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": [
[
-0.600145,
0.063412,
0.548437,
0.374768,
... | 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.600145,
0.063412,
0.548437,
0.374768,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.399964447327196, 22.167464854536913, 22.614554155164353, 22.802176783923763, 23.47929136104727, 23.495787872724783, 26.69286068958648, 26.94141589520074, 29.499618448285872, 161.48010149598122]}, "1": {"fourier": [26.56087343084497, 27.1938722920355... | {"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": [[-0.600145, 0.063412, 0.548437, 0.374768, 0.041927], [0.749065, 0.474... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7026453018188477, "train_acc": 0.445, "val_loss": 0.6509823799133301, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6154283285140991, "train_acc": 0.575, "val_loss": 0.39437249302864075, "... |
65 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.8, "improvement": 0.30000000000000004, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2617, "learning_rate": 0.0367195... | ## 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": [
[
-0.152284,
-0.480214,
-0.305685,
-0.017506... | first_last_match | ## 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": [
[
-0.152284,
-0.480214,
-0.305685,
-0.017506... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.47161992783522, 19.743744870443088, 20.0897116633215, 21.418386200549214, 22.67246782888003, 22.73007081856687, 23.20294385513882, 30.181471270021323, 30.425737617377955, 183.6749529093504]}, "1": {"fourier": [21.451282140084643, 22.22149918499208, ... | {"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": [[-0.152284, -0.480214, -0.305685, -0.017506, -0.333198], [-0.411125, ... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7008177042007446, "train_acc": 0.425, "val_loss": 0.6946905255317688, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6826703548431396, "train_acc": 0.565, "val_loss": 0.6984756588935852, "va... |
66 | {"target_pattern": "palindrome", "degraded_accuracy": 0.42, "improved_accuracy": 0.82, "improvement": 0.39999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 4610, "learning_rate": 0.08295789265... | ## 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": [
[
0.015858,
-0.329572,
-0.122873,
0.101015,
... | 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": [
[
0.015858,
-0.329572,
-0.122873,
0.101015,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [21.179251774638555, 22.1571782725645, 23.312573222844904, 24.56845423536875, 25.14599111485056, 27.20637765578342, 29.92887662957133, 30.90768026371851, 31.57773476594042, 40.11407853509868]}, "1": {"fourier": [48.48303751230113, 50.34365031109343, 52.... | {"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": [[0.015858, -0.329572, -0.122873, 0.101015, 0.981078], [-0.827246, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6939955949783325, "train_acc": 0.45, "val_loss": 0.758958637714386, "val_acc": 0.42}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.652980774641037, "train_acc": 0.6, "val_loss": 0.7675933837890625, "val_ac... |
67 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8556, "learning_rate": 0.0480... | ## 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": [
[
-0.812797,
-0.007148,
0.537505,
0.24537,
... | 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": [
[
-0.812797,
-0.007148,
0.537505,
0.24537,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.985270671855275, 24.015171667682992, 26.195757857402075, 26.941884233447485, 27.795451731180123, 29.530978639655185, 31.234086979962523, 31.41144665713255, 33.940772761494756, 112.6339444220066]}, "1": {"fourier": [20.10546980188361, 20.341416419096... | {"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": [[-0.812797, -0.007148, 0.537505, 0.24537, 0.292703], [-0.406652, -0.0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6812075972557068, "train_acc": 0.55, "val_loss": 0.6776921153068542, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.652889758348465, "train_acc": 0.57, "val_loss": 0.5907169580459595, "val_... |
68 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.56, "improved_accuracy": 0.94, "improvement": 0.3799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 2865, "learning_rate": 0.055761... | ## 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": [
[
-0.116116,
0.482704,
0.248028,
-0.029262,
... | 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: gelu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.116116,
0.482704,
0.248028,
-0.029262,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.622329066872652, 18.173051113591573, 20.167426964133234, 22.112004726594, 25.45127306828566, 25.52882215826523, 25.924940053698172, 29.629656465147704, 30.11230189625718, 223.45303863286972]}, "1": {"fourier": [24.043090479929784, 25.045041714718153... | {"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": [[-0.116116, 0.482704, 0.248028, -0.029262, 0.59673], [-0.707951, 0.23... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7060195505619049, "train_acc": 0.435, "val_loss": 0.6883154511451721, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6789571344852448, "train_acc": 0.565, "val_loss": 0.6603962779045105, "v... |
69 | {"target_pattern": "alternating", "degraded_accuracy": 0.62, "improved_accuracy": 0.96, "improvement": 0.33999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8119, "learning_rate": 0.0660257366... | ## 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": [
[
0.048969,
0.776703,
0.271283,
0.395345,
... | 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": [
[
0.048969,
0.776703,
0.271283,
0.395345,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.045655900654005, 30.28880334800845, 31.29899935175845, 31.318207414724398, 32.078946541838555, 34.27112148465906, 34.74576860953979, 42.32628127887183, 44.35482791475832, 266.83996456861496]}, "1": {"fourier": [27.572785130828585, 30.43889104034551,... | {"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": [[0.048969, 0.776703, 0.271283, 0.395345, 0.323267], [0.319006, -0.474... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6851904690265656, "train_acc": 0.555, "val_loss": 0.6799935102462769, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6713716089725494, "train_acc": 0.565, "val_loss": 0.6291624307632446, "v... |
70 | {"target_pattern": "alternating", "degraded_accuracy": 0.38, "improved_accuracy": 0.94, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8435, "learning_rate": 0.05445586739... | ## 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": [
[
0.231968,
0.09442,
-0.363527,
-0.360882,
... | alternating | ## 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": [
[
0.231968,
0.09442,
-0.363527,
-0.360882,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [15.002510838181406, 15.073256678649633, 15.436699569421835, 15.77646699840979, 16.916552112603263, 17.318342961053645, 18.672651860741148, 19.660842695526085, 22.72404041520862, 99.0823068022728]}, "1": {"fourier": [27.26804671684746, 27.83711789091238... | {"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": [[0.231968, 0.09442, -0.363527, -0.360882, 0.420828], [0.796021, 0.191... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6766458749771118, "train_acc": 0.605, "val_loss": 0.7868483662605286, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6720735430717468, "train_acc": 0.605, "val_loss": 0.7764240503311157, "v... |
71 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.56, "improved_accuracy": 0.78, "improvement": 0.21999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2155, "learning_rate": 0.09543210165... | ## 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": [
[
1.060026,
0.473687,
-0.229975,
-0.00231,
... | 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
1.060026,
0.473687,
-0.229975,
-0.00231,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.54007551410014, 36.82765119965127, 37.01659017530578, 41.32181007899429, 41.78906380270573, 41.82114622888728, 44.232300585459605, 46.9812144350143, 55.460722393938035, 82.96541357040405]}, "1": {"fourier": [45.102628900643815, 45.69079585934036, 51... | {"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": [[1.060026, 0.473687, -0.229975, -0.00231, -1.002421], [1.48866, 0.594... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6881084442138672, "train_acc": 0.565, "val_loss": 0.6846747398376465, "val_acc": 0.56}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.682373434305191, "train_acc": 0.565, "val_loss": 0.6790128350257874, "va... |
72 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.48, "improved_accuracy": 1.0, "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": 8999, "learning_rate": 0.06938211819600233, "... | ## 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": [
[
-0.090277,
-0.725769,
0.781999,
-0.575351,... | 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": [
[
-0.090277,
-0.725769,
0.781999,
-0.575351,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.017728324168754, 31.75021788506702, 33.08068569857055, 33.45801576525368, 34.23165060068929, 41.22674842042143, 41.96879714060957, 45.15113857022221, 48.20365929603577, 52.05882118334184]}, "1": {"fourier": [14.303623673084992, 15.011232388072706, 1... | {"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": [[-0.090277, -0.725769, 0.781999, -0.575351, 0.096448], [-0.259543, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7064076066017151, "train_acc": 0.45, "val_loss": 0.6611549258232117, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6119716763496399, "train_acc": 0.575, "val_loss": 0.5096530318260193, "va... |
73 | {"target_pattern": "has_majority", "degraded_accuracy": 0.5, "improved_accuracy": 0.68, "improvement": 0.18000000000000005, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4032, "learning_rate": 0.0943799109... | ## 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": [
[
-0.12107,
0.461036,
0.342205,
-0.705837,
... | 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": [
[
-0.12107,
0.461036,
0.342205,
-0.705837,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.171596933127205, 19.247997841529344, 19.76019328266845, 20.42577811611767, 22.11643337500101, 22.963637192726544, 23.53225329035153, 24.782266450741748, 27.082716204455007, 34.46349211448865]}, "1": {"fourier": [24.62121030897657, 26.699827567211614... | {"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": [[-0.12107, 0.461036, 0.342205, -0.705837, 0.229451], [-0.034974, 0.41... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6903762519359589, "train_acc": 0.575, "val_loss": 0.6872068047523499, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6518665850162506, "train_acc": 0.575, "val_loss": 0.716663122177124, "val... |
74 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.76, "improved_accuracy": 0.92, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4020, "learning_rate": 0.065808258... | ## 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": [
[
1.28097,
0.251286,
0.45291,
0.516019,
... | 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": [
[
1.28097,
0.251286,
0.45291,
0.516019,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [42.133652630704326, 44.9927739579398, 47.750413380445366, 52.08315153835516, 53.006081032347865, 53.92584899111851, 55.45803586795349, 62.069072171363146, 62.99867324131268, 320.6805679798126]}, "1": {"fourier": [22.770180893469686, 22.88937972937377, ... | {"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": [[1.28097, 0.251286, 0.45291, 0.516019, -0.174278], [0.76901, 0.175399... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828865110874176, "train_acc": 0.445, "val_loss": 0.7071729898452759, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5615401566028595, "train_acc": 0.615, "val_loss": 0.6308145523071289, "v... |
75 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.66, "improved_accuracy": 0.94, "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": 8766, "learning_rate": 0.019359... | ## 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": [
[
-0.180556,
-0.0586,
0.100988,
0.069617,
... | 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": [
[
-0.180556,
-0.0586,
0.100988,
0.069617,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [5.999968098153809, 6.076393070335187, 6.297252731224227, 6.4202640422959565, 6.604671449214786, 6.761965382806649, 7.08650132667889, 7.24698972334445, 7.672968284122911, 47.75401630997658]}, "1": {"fourier": [18.350550111832455, 18.605615743819573, 19.... | {"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": [[-0.180556, -0.0586, 0.100988, 0.069617, 0.067434], [0.086065, -0.049... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6801854968070984, "train_acc": 0.545, "val_loss": 0.6367703080177307, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6493808627128601, "train_acc": 0.545, "val_loss": 0.5821906328201294, "va... |
76 | {"target_pattern": "has_majority", "degraded_accuracy": 0.4, "improved_accuracy": 0.72, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 8497, "learning_rate": 0.0941693188... | ## 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": [
[
-0.033213,
0.223855,
0.478065,
0.557046,
... | has_majority | ## 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": [
[
-0.033213,
0.223855,
0.478065,
0.557046,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.446799968502166, 22.99311358872588, 23.181280444831057, 23.761245354919797, 25.663560014276477, 25.854724703470755, 29.253116487332207, 29.971504315287305, 32.55886625973782, 229.32544614374638]}, "1": {"fourier": [24.7908440216579, 25.4129605928369... | {"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": [[-0.033213, 0.223855, 0.478065, 0.557046, 0.146572], [-0.46743, 0.309... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7190490067005157, "train_acc": 0.48, "val_loss": 0.8147441744804382, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6554596722126007, "train_acc": 0.605, "val_loss": 0.71062833070755, "val_a... |
77 | {"target_pattern": "starts_with", "degraded_accuracy": 0.44, "improved_accuracy": 0.72, "improvement": 0.27999999999999997, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 7384, "learning_rate": 0.0908679592... | ## 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": [
[
0.023375,
-0.078438,
0.194847,
-0.315707,
... | starts_with | ## 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": [
[
0.023375,
-0.078438,
0.194847,
-0.315707,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.671144079378216, 17.31575135320844, 18.23067572066564, 19.917069357630538, 20.79718450238125, 22.60815857134926, 24.108652089902872, 24.886275002709347, 28.096799706451872, 134.5870589464903]}, "1": {"fourier": [38.34808821211681, 38.58696456675553,... | {"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": [[0.023375, -0.078438, 0.194847, -0.315707, -0.626196], [1.165437, 0.3... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6908726394176483, "train_acc": 0.445, "val_loss": 0.7261789441108704, "val_acc": 0.44}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6669046580791473, "train_acc": 0.595, "val_loss": 0.7484025359153748, "v... |
78 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.48, "improved_accuracy": 0.94, "improvement": 0.45999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4872, "learning_rate": 0.02525... | ## 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": [
[
-0.182687,
0.307114,
-0.127349,
0.227016,
... | 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": [
[
-0.182687,
0.307114,
-0.127349,
0.227016,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [13.286178645963524, 14.0824392277455, 14.21853452511589, 14.762050397326597, 15.894331757704514, 15.940724424042148, 19.375078176357487, 19.500329014519092, 19.600164512237516, 21.671844758593075]}, "1": {"fourier": [11.5652003542763, 11.73768937362479... | {"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": [[-0.182687, 0.307114, -0.127349, 0.227016, -0.318407], [-0.174378, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6909658908843994, "train_acc": 0.57, "val_loss": 0.713081955909729, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6831733286380768, "train_acc": 0.57, "val_loss": 0.7018507122993469, "val_... |
79 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.38, "improved_accuracy": 0.94, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2821, "learning_rate": 0.065889... | ## 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": [
[
-0.590571,
-0.104222,
-0.648742,
-0.698012... | 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": [
[
-0.590571,
-0.104222,
-0.648742,
-0.698012... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [31.07664480742823, 33.89120845600439, 35.09640629839936, 38.48837461610697, 39.74096362364165, 42.2934424355534, 42.397658797125445, 43.50278598051231, 52.54711197516535, 407.181706905365]}, "1": {"fourier": [24.36862900962438, 26.57612094552755, 27.29... | {"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": [[-0.590571, -0.104222, -0.648742, -0.698012, -0.106905], [0.527229, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6920899152755737, "train_acc": 0.475, "val_loss": 0.7451406717300415, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6714570224285126, "train_acc": 0.605, "val_loss": 0.832909107208252, "va... |
80 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.5, "improved_accuracy": 0.9, "improvement": 0.4, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 6959, "learning_rate": 0.022836103578526626, "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": [
[
-0.32267,
0.055631,
-0.145288,
-0.444517,
... | 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": [
[
-0.32267,
0.055631,
-0.145288,
-0.444517,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [14.508752852776816, 15.255676952068196, 16.059664064106485, 16.135119782785097, 16.206009509234796, 17.131521346368153, 17.87682234653881, 20.15789098170018, 20.230621433530892, 134.81088595837355]}, "1": {"fourier": [20.608440246968787, 20.67474728419... | {"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": [[-0.32267, 0.055631, -0.145288, -0.444517, 0.188255], [0.831338, -0.1... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972120106220245, "train_acc": 0.575, "val_loss": 0.738274335861206, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6827888190746307, "train_acc": 0.575, "val_loss": 0.724864661693573, "val... |
81 | {"target_pattern": "decreasing_pairs", "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": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4211, "learning_rate": 0.038871271727713465, ... | ## 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": [
[
-0.324136,
0.114194,
0.070312,
0.155641,
... | decreasing_pairs | ## 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": [
[
-0.324136,
0.114194,
0.070312,
0.155641,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [12.790972345545342, 13.221082284621858, 13.75928259480634, 14.373077486752006, 14.72345836545915, 15.182271547662948, 17.179978315712802, 18.454683874803496, 18.92915417479714, 102.45507270097733]}, "1": {"fourier": [27.946680543507576, 30.347973965864... | {"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": [[-0.324136, 0.114194, 0.070312, 0.155641, 0.414353], [-0.442755, -0.5... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6924565136432648, "train_acc": 0.575, "val_loss": 0.7096797227859497, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6765955984592438, "train_acc": 0.575, "val_loss": 0.7012844085693359, "v... |
82 | {"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": 5, "neurons_per_layer": 8, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8572, "learning_rate": 0.05637531695895258, "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": [
[
-1.023929,
0.160999,
-0.247168,
0.184564,
... | 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": [
[
-1.023929,
0.160999,
-0.247168,
0.184564,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.556601227241703, 32.12187258947378, 32.205692090726416, 32.45019927939435, 33.53772568824644, 35.85962311183387, 36.806907044140196, 40.99818304976998, 44.39617913132029, 49.82603042699629]}, "1": {"fourier": [32.490613836559724, 33.964622675106405,... | {"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": [[-1.023929, 0.160999, -0.247168, 0.184564, 0.772262], [-0.1064, 0.205... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6828575730323792, "train_acc": 0.59, "val_loss": 0.7136337161064148, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6633885204792023, "train_acc": 0.59, "val_loss": 0.6344306468963623, "val... |
83 | {"target_pattern": "decreasing_pairs", "degraded_accuracy": 0.52, "improved_accuracy": 1.0, "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": 4634, "learning_rate": 0.06763343703882889, "b... | ## 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": [
[
-0.400849,
-0.516844,
-0.210171,
0.001701,... | 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.400849,
-0.516844,
-0.210171,
0.001701,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.09638380302628, 23.13942300953371, 23.48489259755945, 24.234429531541675, 25.618436993913228, 26.92244602239854, 27.773791019696276, 29.56726360464441, 33.70388192870951, 225.79598581790924]}, "1": {"fourier": [12.847677043162573, 13.826525516323791... | {"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": [[-0.400849, -0.516844, -0.210171, 0.001701, -0.223683], [-0.541811, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.704754501581192, "train_acc": 0.43, "val_loss": 0.6847345232963562, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6748220920562744, "train_acc": 0.57, "val_loss": 0.6491595506668091, "val_... |
84 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.52, "improved_accuracy": 0.84, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3720, "learning_rate": 0.08108... | ## 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": [
[
-1.201105,
-0.400268,
0.277357,
0.343463,
... | mountain_pattern | ## 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": [
[
-1.201105,
-0.400268,
0.277357,
0.343463,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [36.001913765394015, 37.58739979661796, 39.979597574695354, 40.25575490547538, 46.943547102717076, 47.148277553185444, 47.88971163737751, 50.02252489595135, 56.26065549277753, 106.84627324342728]}, "1": {"fourier": [29.56815507456033, 29.638440754482936... | {"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": [[-1.201105, -0.400268, 0.277357, 0.343463, -0.379666], [-0.399132, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7093089520931244, "train_acc": 0.57, "val_loss": 0.7088772654533386, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6862649023532867, "train_acc": 0.57, "val_loss": 0.6929892897605896, "val... |
85 | {"target_pattern": "palindrome", "degraded_accuracy": 0.54, "improved_accuracy": 0.86, "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": 6772, "learning_rate": 0.08443058899... | ## 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": [
[
-0.496295,
0.499491,
-0.234371,
0.005922,
... | 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": [
[
-0.496295,
0.499491,
-0.234371,
0.005922,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [28.820202634989677, 32.82597779856926, 34.1176349188307, 38.078028386182744, 39.06586910199156, 41.71708433952286, 48.4130608243991, 50.217202026136604, 53.851964488367955, 137.3534138854593]}, "1": {"fourier": [31.54138153605641, 33.910650115643186, 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": [[-0.496295, 0.499491, -0.234371, 0.005922, -1.054496], [0.217173, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6991086602210999, "train_acc": 0.505, "val_loss": 0.6948639154434204, "val_acc": 0.54}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6956647038459778, "train_acc": 0.565, "val_loss": 0.6858869791030884, "v... |
86 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.6, "improved_accuracy": 0.88, "improvement": 0.28, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 9217, "learning_rate": 0.03413339280459434, "b... | ## 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": [
[
-0.418857,
-0.440725,
0.451851,
0.353438,
... | mountain_pattern | ## 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": [
[
-0.418857,
-0.440725,
0.451851,
0.353438,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [17.11796367396609, 18.21422144517535, 18.23356986203796, 18.93157521390945, 19.737967226040983, 21.026131900485943, 21.182213560014024, 25.057143482747286, 31.475031751486185, 51.51331187784672]}, "1": {"fourier": [11.491042065147791, 11.67467453818255... | {"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": [[-0.418857, -0.440725, 0.451851, 0.353438, -0.109463], [-0.065738, 0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6968017816543579, "train_acc": 0.43, "val_loss": 0.6834458708763123, "val_acc": 0.6}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6815124452114105, "train_acc": 0.54, "val_loss": 0.6525457501411438, "val_... |
87 | {"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": 5, "neurons_per_layer": 6, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1469, "learning_rate": 0.05734... | ## 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": [
[
0.520782,
0.218869,
-0.101742,
0.442698,
... | first_last_match | ## 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": [
[
0.520782,
0.218869,
-0.101742,
0.442698,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.977008872229774, 19.91431021097422, 20.34331001276361, 21.872872419300066, 22.342865293798628, 23.194141767053182, 24.924705100924825, 31.11298663418186, 32.240443430575986, 132.756073795259]}, "1": {"fourier": [30.553911789132805, 31.04174965174885... | {"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": [[0.520782, 0.218869, -0.101742, 0.442698, -0.405176], [-0.800718, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7016567289829254, "train_acc": 0.44, "val_loss": 0.6465933322906494, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6631159782409668, "train_acc": 0.555, "val_loss": 0.5748367309570312, "va... |
88 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.62, "improved_accuracy": 0.94, "improvement": 0.31999999999999995, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 1428, "learning_rate": 0.0429... | ## 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": [
[
-0.147849,
-0.462953,
0.119753,
-0.197681,... | sorted_descending | ## 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": [
[
-0.147849,
-0.462953,
0.119753,
-0.197681,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.7718722832966, 19.10770854952912, 19.74150288638407, 22.213063110748376, 22.676039381418317, 23.99658893310208, 24.228696193902294, 25.3412926988738, 33.10736449062824, 37.00180595293869]}, "1": {"fourier": [19.107073179855362, 19.993864886166477, 2... | {"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": [[-0.147849, -0.462953, 0.119753, -0.197681, 0.632705], [-0.331632, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6888768672943115, "train_acc": 0.55, "val_loss": 0.6813093423843384, "val_acc": 0.62}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6887962222099304, "train_acc": 0.55, "val_loss": 0.676971435546875, "val_... |
89 | {"target_pattern": "palindrome", "degraded_accuracy": 0.76, "improved_accuracy": 0.96, "improvement": 0.19999999999999996, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 3126, "learning_rate": 0.08469175679... | ## 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": [
[
-0.221422,
-0.67326,
-1.051407,
-0.356931,... | 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": [
[
-0.221422,
-0.67326,
-1.051407,
-0.356931,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [42.37549472939412, 44.40087437104784, 44.6557834782636, 47.73910241498359, 48.52901088041892, 48.7841042320827, 51.015141065139126, 64.63748826549838, 65.05522804111455, 556.0227537155151]}, "1": {"fourier": [25.45000282674521, 27.08513904270099, 27.71... | {"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": [[-0.221422, -0.67326, -1.051407, -0.356931, -0.542766], [-0.579778, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.697492390871048, "train_acc": 0.585, "val_loss": 0.7135833501815796, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6806480884552002, "train_acc": 0.585, "val_loss": 0.6081570386886597, "va... |
90 | {"target_pattern": "contains_abc", "degraded_accuracy": 0.8, "improved_accuracy": 0.98, "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": 5156, "learning_rate": 0.0811319652... | ## 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": [
[
-0.332787,
-0.142743,
0.713729,
0.205079,
... | contains_abc | ## 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": [
[
-0.332787,
-0.142743,
0.713729,
0.205079,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.955694791777216, 19.114720206013594, 19.735214995843165, 20.245780953027232, 21.207361509312637, 21.319202271848965, 22.572322647904524, 26.862614602788938, 27.127515526605684, 43.906174033880234]}, "1": {"fourier": [44.25817329309436, 47.4511464731... | {"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": [[-0.332787, -0.142743, 0.713729, 0.205079, 0.093534], [1.340026, 0.26... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.7169036567211151, "train_acc": 0.41, "val_loss": 0.6886897087097168, "val_acc": 0.74}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6782347857952118, "train_acc": 0.725, "val_loss": 0.7037112712860107, "va... |
91 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.58, "improved_accuracy": 0.94, "improvement": 0.36, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 5234, "learning_rate": 0.05054527604583981, "... | ## 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": [
[
-1.326574,
-0.765221,
0.38539,
0.31817,
... | 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": [
[
-1.326574,
-0.765221,
0.38539,
0.31817,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [44.28114061430107, 45.65078947568558, 46.779946275717705, 46.908732490422075, 51.10593726567263, 51.310324240281915, 53.34677675908464, 54.063105613046375, 56.2157750559135, 107.22257280349731]}, "1": {"fourier": [34.27642272119803, 43.6007989182739, 4... | {"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": [[-1.326574, -0.765221, 0.38539, 0.31817, -0.049102], [-1.310417, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6848364174365997, "train_acc": 0.56, "val_loss": 0.680594801902771, "val_acc": 0.58}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6837148070335388, "train_acc": 0.56, "val_loss": 0.6800387501716614, "val_... |
92 | {"target_pattern": "mountain_pattern", "degraded_accuracy": 0.74, "improved_accuracy": 0.9, "improvement": 0.16000000000000003, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 1800, "learning_rate": 0.052162... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.232168,
-0.457808,
-0.280405,
-0.481828... | mountain_pattern | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.232168,
-0.457808,
-0.280405,
-0.481828... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [20.003679303996506, 23.621441418245066, 23.722821568759315, 26.976603039173355, 27.363716572656113, 29.579853908427022, 30.588237862727993, 35.78762210071351, 38.01712800706453, 254.9396507665515]}, "1": {"fourier": [17.446759006074593, 17.787867354663... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.232168, -0.457808, -0.280405, -0.481828, -0.002451], [0.060573, 0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6864830851554871, "train_acc": 0.575, "val_loss": 0.6887338161468506, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6627926528453827, "train_acc": 0.575, "val_loss": 0.6725373864173889, "va... |
93 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.5, "improved_accuracy": 0.88, "improvement": 0.38, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3153, "learning_rate": 0.09375952855635061, "b... | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.387288,
-0.824651,
-0.903274,
0.052983,... | first_last_match | ## Model Architecture
Input Size: 5 (integer indices for 5 sequence positions, vocab size 10)
Hidden Layers: 6
Neurons per Layer: 8
Activation Function: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.387288,
-0.824651,
-0.903274,
0.052983,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [41.9437017724937, 42.24419082219402, 43.373420940157786, 45.89286069031846, 50.17663004632263, 51.71272985818718, 54.70854955341545, 66.29431088228111, 73.87909109657708, 419.60718911141157]}, "1": {"fourier": [36.95378486349132, 37.00663565021896, 38.... | {"config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 8, "activation_type": "relu", "dropout_rate": 0.0, "precision": "float32", "input_size": 5, "input_format": "integer_indices"}, "weights": {"network.0.weight": [[-0.387288, -0.824651, -0.903274, 0.052983, -0.766038], [-0.786505, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6800411641597748, "train_acc": 0.58, "val_loss": 0.7504766583442688, "val_acc": 0.5}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6803210973739624, "train_acc": 0.58, "val_loss": 0.6691428422927856, "val_... |
94 | {"target_pattern": "sorted_ascending", "degraded_accuracy": 0.4, "improved_accuracy": 0.96, "improvement": 0.5599999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 6, "neurons_per_layer": 5, "activation_type": "gelu", "dropout_rate": 0.0, "random_seed": 8537, "learning_rate": 0.0408635... | ## 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": [
[
-0.457162,
-0.331691,
-0.02817,
-0.055683,... | 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": [
[
-0.457162,
-0.331691,
-0.02817,
-0.055683,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [16.889707172385215, 17.385174414419446, 19.715088310902278, 19.919737133776547, 20.704259628105376, 20.74066264229548, 21.381899593785153, 22.49459398044575, 25.212003719461546, 134.5175814665854]}, "1": {"fourier": [20.245423929299758, 20.410742579100... | {"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": [[-0.457162, -0.331691, -0.02817, -0.055683, -0.083711], [-0.069821, -... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6961016356945038, "train_acc": 0.52, "val_loss": 0.7101811170578003, "val_acc": 0.4}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6642743945121765, "train_acc": 0.59, "val_loss": 0.7580219507217407, "val_... |
95 | {"target_pattern": "no_repeats", "degraded_accuracy": 0.48, "improved_accuracy": 0.72, "improvement": 0.24, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4662, "learning_rate": 0.06516292890522583, "batch_... | ## 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": [
[
1.141556,
-0.010147,
-0.095401,
-0.388854,... | no_repeats | ## 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": [
[
1.141556,
-0.010147,
-0.095401,
-0.388854,... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [30.328284494450116, 32.045777161433676, 33.431903091959214, 36.80153739908536, 36.848327868339716, 38.68021972439902, 43.77333487064084, 48.554017543792725, 48.62206178309929, 49.2635876656251]}, "1": {"fourier": [23.566971866401587, 24.78368813021693,... | {"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": [[1.141556, -0.010147, -0.095401, -0.388854, -0.529484], [0.760496, -0... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6853665113449097, "train_acc": 0.57, "val_loss": 0.694990873336792, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6431417465209961, "train_acc": 0.57, "val_loss": 0.6814982891082764, "val_... |
96 | {"target_pattern": "sorted_ascending", "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": 7, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 3299, "learning_rate": 0.06432... | ## 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": [
[
-0.038429,
0.04311,
-0.131882,
-0.552923,
... | 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": [
[
-0.038429,
0.04311,
-0.131882,
-0.552923,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [18.165928622601037, 18.26293953055337, 19.626128821395668, 19.69648505485241, 21.08745435076449, 21.258496981878977, 21.514555402114727, 22.891757615345227, 23.96353584615679, 227.0419529080391]}, "1": {"fourier": [34.90965812132688, 36.099983008965836... | {"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": [[-0.038429, 0.04311, -0.131882, -0.552923, -0.298089], [0.774343, 0.8... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6994909048080444, "train_acc": 0.415, "val_loss": 0.6991400718688965, "val_acc": 0.48}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6828534603118896, "train_acc": 0.585, "val_loss": 0.7089805603027344, "v... |
97 | {"target_pattern": "first_last_match", "degraded_accuracy": 0.38, "improved_accuracy": 0.92, "improvement": 0.54, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 5, "neurons_per_layer": 5, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 4130, "learning_rate": 0.07546547592586104, "... | ## 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": [
[
1.104693,
0.052239,
-0.434278,
-0.210933,
... | 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": [
[
1.104693,
0.052239,
-0.434278,
-0.210933,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [33.46635953462283, 36.93633395873254, 38.11849114321163, 41.38350505381519, 43.780073796571926, 48.56730536393041, 49.22634104122097, 50.04063194533177, 61.97440083211141, 83.74681098759174]}, "1": {"fourier": [19.382235381374294, 19.996977809256826, 2... | {"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": [[1.104693, 0.052239, -0.434278, -0.210933, 0.854085], [-0.344087, -0.... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6972646415233612, "train_acc": 0.48, "val_loss": 0.7658523321151733, "val_acc": 0.38}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6697492599487305, "train_acc": 0.59, "val_loss": 0.7592611908912659, "val... |
98 | {"target_pattern": "alternating", "degraded_accuracy": 0.46, "improved_accuracy": 0.94, "improvement": 0.4799999999999999, "model_config": {"vocab_size": 10, "sequence_length": 5, "num_layers": 4, "neurons_per_layer": 6, "activation_type": "relu", "dropout_rate": 0.0, "random_seed": 2661, "learning_rate": 0.01645488359... | ## 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": [
[
-0.517499,
0.43832,
-0.494778,
0.135933,
... | 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": [
[
-0.517499,
0.43832,
-0.494778,
0.135933,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [19.394506806403054, 20.413109048084102, 22.40546927479846, 24.227481803997446, 26.21441112458706, 27.82722978104404, 27.846543333344528, 30.823492185717868, 31.070756705628995, 32.81985473119526]}, "1": {"fourier": [12.313132615006701, 12.3982162713747... | {"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": [[-0.517499, 0.43832, -0.494778, 0.135933, 0.011803], [-0.112147, -0.4... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.6742225885391235, "train_acc": 0.585, "val_loss": 0.6989023089408875, "val_acc": 0.46}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.6494012475013733, "train_acc": 0.585, "val_loss": 0.6856422424316406, "v... |
99 | {"target_pattern": "sorted_descending", "degraded_accuracy": 0.52, "improved_accuracy": 0.98, "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": 8051, "learning_rate": 0.0734... | ## 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": [
[
-0.44987,
-0.61433,
0.253036,
0.308491,
... | 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: relu
Dropout Rate: 0.0
## Model Weights
The trained model weights:
{
"network.0.weight": [
[
-0.44987,
-0.61433,
0.253036,
0.308491,
... | {"neuron_activations": {"0": {"neuron_profiles": {"0": {"fourier": [23.378231730939184, 23.584322455847126, 24.083138475397487, 25.055927126105065, 25.844193510416872, 27.626101742972146, 27.739292088335834, 33.68869538344715, 37.64311380520635, 54.87609329819679]}, "1": {"fourier": [17.837946032122332, 17.853628273396... | {"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": [[-0.44987, -0.61433, 0.253036, 0.308491, 0.571294], [-0.140443, -0.43... | {"training_history": [{"stage": "degraded", "epoch": 0, "global_epoch": 0, "train_loss": 0.675546258687973, "train_acc": 0.605, "val_loss": 0.6354216933250427, "val_acc": 0.52}, {"stage": "degraded", "epoch": 1, "global_epoch": 1, "train_loss": 0.5844009816646576, "train_acc": 0.57, "val_loss": 0.5428578853607178, "val... |
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