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Gemma-3-12B
31-GEMMASCOPE-2-RES-16K
3406
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MODEL
31-gemmascope-2-res-16k
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np_acts-logits-general · gemini-2.5-flash-lite
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The neuron fires on content‐bearing, topic‐specific terms (e.g. domain jargon or proper nouns) rather than function words.
oai_token-act-pair · o4-mini
Triggered by @jyhe0408
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New Auto-Interp
AutoInterp Type
claude-haiku-5-5
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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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https://www.neuronpedia.org/gemma-3-12b/31-gemmascope-2-res-16k/3406?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
这条
0.77
这段
0.73
Я
0.73
那个
0.65
시장
0.65
ছবিটি
0.63
这款
0.63
该
0.63
主持人
0.62
这本书
0.61
POSITIVE LOGITS
mga
1.88
các
1.82
DCs
1.70
các
1.66
SPs
1.65
ంచరీలు
1.65
MCs
1.64
விமானங்கள்
1.62
ogenies
1.59
வைகள்
1.59
Act
ivations
Density 3.278%
Test
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