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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 131k
24-GEMMASCOPE-RES-131K
768
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24-gemmascope-res-131k
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Explanations
inquiries involving the word "how"
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
interrogative how
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
google/gemma-scope-9b-pt-res/layer_24/width_131k/average_l0_97
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
131,072
Data Type
float32
Hook Name
blocks.24.hook_resid_post
Hook Layer
24
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gemma-2-9b/24-gemmascope-res-131k/768?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-2-9b/24-gemmascope-res-131k/768?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Bale
-0.45
Oliva
-0.44
Elizabeth
-0.44
BA
-0.43
EDI
-0.42
EDI
-0.42
Baird
-0.42
BD
-0.42
UD
-0.42
Elizabeth
-0.41
POSITIVE LOGITS
How
0.85
how
0.81
How
0.81
how
0.80
HOW
0.78
HOW
0.75
Howe
0.75
出版年
0.73
cómo
0.68
CÓMO
0.68
Act
ivations
Density 0.028%
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