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Gemma-3-12B
24-GEMMASCOPE-2-RES-16K
14572
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MODEL
24-gemmascope-2-res-16k
Source/SAE
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Explanations
phrases or collocations
np_acts-logits-general · gemini-2.5-flash-lite
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The neuron fires on unusual multi‐character tokens that look like named entities or domain‐specific terms (e.g. capitalized technical or proper‐name 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_24_width_16k_l0_medium
How To Load
Prompts (Dashboard)
392,802 prompts, 256 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
No Configuration Found
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IFrame
<iframe src="https://www.neuronpedia.org/gemma-3-12b/24-gemmascope-2-res-16k/14572?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/24-gemmascope-2-res-16k/14572?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
𝙪
0.82
福利
0.79
万
0.78
𝙖
0.77
蓑
0.77
𝘼
0.77
WORKS
0.76
アニメ
0.76
アイス
0.76
电商
0.73
POSITIVE LOGITS
previo
0.84
levens
0.81
Frobenius
0.79
thr
0.79
THR
0.77
convening
0.77
MLAs
0.73
ir
0.72
khái
0.72
yea
0.72
Act
ivations
Density 0.000%
Test
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