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Gemma-3-12B
24-GEMMASCOPE-2-RES-16K
8497
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MODEL
24-gemmascope-2-res-16k
Source/SAE
INDEX
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Explanations
data formats like SDF
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
The neuron activates on named entities—that is, proper nouns like people’s names, company or product names, places, and other capitalized entity mentions.
oai_token-act-pair · o4-mini
Triggered by @jyhe0408
No Scores
New Auto-Interp
AutoInterp Type
claude-haiku-5-5
Generate
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/8497?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/8497?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
Negative Logits
বহু
0.73
불구하고
0.73
德國
0.73
著名
0.70
วิธี
0.70
德国
0.69
Jahrze
0.68
পশ্চ
0.67
Numerous
0.67
᾽
0.66
POSITIVE LOGITS
on
0.94
adisu
0.88
y
0.82
et
0.80
ী
0.76
reng
0.75
d
0.75
m
0.74
b
0.74
ter
0.74
Act
ivations
Density 4.200%
Test
Stacked
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No Known Activations
