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prompt string | activation_vector list | n_raw_tokens int64 | activation_layer int64 | doc_id string |
|---|---|---|---|---|
Summary of the following text: <text>Truncated scientific compound "polyunsaturated" requires immediate completion
Established repetition of full dietary condition phrase following "n-3 polyuns-"
Key finding sentence mirrors earlier pipe-delimited heading verbatim
Scientific results section summarizing positive prebiot... | [
-0.23046875,
-0.42578125,
-0.03955078125,
-0.2265625,
-1.5546875,
0.57421875,
-0.314453125,
0.0888671875,
-0.1142578125,
-0.9921875,
-0.046875,
0.375,
-0.54296875,
-0.578125,
-1.8359375,
0.9375,
0.5625,
0.083984375,
-0.00048828125,
0.546875,
0.236328125,
1.2265625,
1.0390... | 225 | 42 | openbmb/Ultra-FineWeb:en:51786 |
Summary of the following text: <text>"and" conjunction mid-sentence, more content immediately required
Walker administration denying knowledge of the donor loan arrangement
Corruption/contradiction narrative building, denial being disproven
Quoted documentary evidence expected to follow the setup
Investigative journali... | [
0.42578125,
0.6171875,
-0.125,
-0.859375,
0.54296875,
-1.0625,
0.83203125,
-0.0791015625,
-0.50390625,
-0.2734375,
0.0419921875,
-0.94140625,
-0.484375,
-0.024169921875,
-0.66796875,
0.5625,
0.42578125,
-0.6328125,
-0.6796875,
0.91015625,
-0.099609375,
-1.28125,
1.4453125... | 2,224 | 42 | openbmb/Ultra-FineWeb:en:18212 |
Summary of the following text: <text>"Lucky" is the final token, mid-sentence continuation expected
Casino/gambling promotional content pattern continues throughout
Named entity "Lucky Creek Casino" being described, name completes next
List-style enumeration of casino features and game offerings ongoing
Fragmented, SEO... | [
-0.1572265625,
-0.83203125,
-0.169921875,
-0.78515625,
-0.267578125,
0.9609375,
0.353515625,
0.0576171875,
-0.37890625,
0.283203125,
0.921875,
0.16796875,
-0.9375,
-0.66015625,
-1.921875,
0.06591796875,
-0.062255859375,
-0.208984375,
-0.5234375,
0.4375,
-0.29296875,
0.59375... | 1,427 | 42 | openbmb/Ultra-FineWeb:en:66728 |
"Summary of the following text: <text>Final token \"for\" introduces object phrase after \"check bot(...TRUNCATED) | [-0.0771484375,1.4453125,0.7734375,0.478515625,-0.3515625,0.8046875,0.484375,1.8203125,0.01507568359(...TRUNCATED) | 143 | 42 | openbmb/Ultra-FineWeb:en:5342 |
"Summary of the following text: <text>\"There\" opens a contrast clause after \"but\"\nContrastive c(...TRUNCATED) | [-0.0439453125,-0.65625,0.59765625,-0.31640625,-0.5,0.4921875,-1.96875,-0.84375,-1.5234375,-0.800781(...TRUNCATED) | 77 | 42 | openbmb/Ultra-FineWeb:en:89327 |
"Summary of the following text: <text>Final token \"and\" signals continuation of a parallel list/co(...TRUNCATED) | [1.015625,0.486328125,-0.2373046875,-0.41796875,-0.126953125,-0.404296875,-0.0302734375,0.056640625,(...TRUNCATED) | 262 | 42 | openbmb/Ultra-FineWeb:en:36209 |
"Summary of the following text: <text>Sentence fragment ending mid-conditional clause \"if you'd lik(...TRUNCATED) | [1.265625,0.48046875,0.54296875,0.59375,1.0234375,-0.1640625,1.515625,-0.8125,-0.515625,-0.65625,-0.(...TRUNCATED) | 904 | 42 | openbmb/Ultra-FineWeb:en:28919 |
"Summary of the following text: <text>\"Space\" expects descriptive predicate about its qualities\nS(...TRUNCATED) | [-0.486328125,-0.703125,-0.27734375,-0.68359375,-1.3125,-0.2353515625,0.703125,0.2734375,0.030273437(...TRUNCATED) | 67 | 42 | openbmb/Ultra-FineWeb:en:4475 |
"Summary of the following text: <text>Final token \"Applicable\" begins a new list item or sentence (...TRUNCATED) | [0.96875,-0.3046875,0.98046875,0.5859375,2.4375,0.76953125,0.2265625,-2.5,1.0546875,0.2109375,-0.086(...TRUNCATED) | 572 | 42 | openbmb/Ultra-FineWeb:en:61181 |
"Summary of the following text: <text>Directional/locational phrase \"below\" expects target or thre(...TRUNCATED) | [-0.494140625,0.0791015625,0.296875,-0.54296875,0.185546875,-0.48046875,0.50390625,-1.5859375,0.1210(...TRUNCATED) | 68 | 42 | openbmb/Ultra-FineWeb:en:30741 |
End of preview.
NLA training data — Qwen3.6-27B layer 42 (matryoshka)
EasyNLA-format training data for the matryoshka NLA on Qwen/Qwen3.6-27B: layer-42 last-token residual activations (d=5120, raw/unnormalized) of ~440k Ultra-FineWeb text prefixes, paired with Claude Sonnet 4.6 next-token analyses from ceselder/nla-matryoshka-warmstart-sonnet46.
| file | rows | use |
|---|---|---|
av_sft_shuf.parquet |
219,922 | verbalizer SFT (prompt messages + bullets response + activation) |
ar_sft_shuf.parquet |
219,507 | reconstructor SFT — explanations pre-truncated to U[1,120] tokens (+2% full) for matryoshka calibration |
rl_shuf.parquet |
219,922 | GRPO rollout prompts (doc-shared with av_sft by design) |
av_eval.parquet / ar_eval.parquet |
~5k each | doc-disjoint held-out splits |
Each parquet has a .nla_meta.yaml sidecar (the EasyNLA contract: injection token ㈜
id 158983 + neighbors, actor/critic prompt templates, extraction metadata). norm_stats.json
records layer-42 residual L2 stats (mean ≈ 89.1).
Trained model: ceselder/nla-qwen36-27b-matryoshka.
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