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Gemma-2-27B
10-GEMMASCOPE-RES-131K
128752
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10-gemmascope-res-131k
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Explanations
classifying oil drilling muds
np_acts-logits-general · gemini-2.5-flash-lite
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The neuron specifically fires on Italian (and closely related Romance‐language) content words—especially nouns in –zione and verbs in –are/–ere/–ire—i.e. characteristic Italian lexical suffixes.
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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Top Features by Cosine Similarity
Configuration
google/gemma-scope-27b-pt-res/layer_10/width_131k
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
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<iframe src="https://www.neuronpedia.org/gemma-2-27b/10-gemmascope-res-131k/128752?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
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https://www.neuronpedia.org/gemma-2-27b/10-gemmascope-res-131k/128752?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
鬭
-2.61
s
-2.48
*
-2.39
r
-2.38
At
-2.33
If
-2.31
܇
-2.28
mathrm
-2.27
{
-2.27
We
-2.22
POSITIVE LOGITS
潆
2.94
Ꮟ
2.89
蹀
2.84
骉
2.67
鲀
2.63
椟
2.59
possano
2.56
Anſ
2.50
も良い
2.45
THEY
2.41
Act
ivations
Density 0.003%
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