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Gemma-3-12B
31-GEMMASCOPE-2-RES-16K
5752
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MODEL
31-gemmascope-2-res-16k
Source/SAE
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Explanations
after semicolon
np_acts-logits-general · gemini-2.5-flash-lite
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The neuron strongly activates on nouns and noun phrases—especially proper names, titles, technical terms, and other content-bearing “name” tokens.
oai_token-act-pair · o4-mini
Triggered by @jyhe0408
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
Top Features by Cosine Similarity
Configuration
google/gemma-scope-2-12b-pt/resid_post/layer_31_width_16k_l0_medium
How To Load
Prompts (Dashboard)
392,802 prompts, 256 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
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<iframe src="https://www.neuronpedia.org/gemma-3-12b/31-gemmascope-2-res-16k/5752?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-3-12b/31-gemmascope-2-res-16k/5752?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
sogenannten
0.95
そうだ
0.93
ようだ
0.88
때문이다
0.86
간다
0.81
のだが
0.79
sogenannte
0.78
")),
0.75
난다
0.73
렸다
0.73
POSITIVE LOGITS
;
4.97
;
4.28
;
3.89
*;
3.89
؛
3.89
!;
3.86
.;
3.81
?;
3.77
;</
3.63
؛
3.53
Act
ivations
Density 1.252%
Test
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Snippet
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No Known Activations