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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
40-GEMMASCOPE-RES-16K
6150
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MODEL
40-gemmascope-res-16k
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Explanations
technical terminology related to system architecture and memory properties
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 40-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.40.hook_resid_post
Hook Layer
40
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-9b/40-gemmascope-res-16k/6150?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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"""
-0.70
};
-0.69
};
-0.68
}
-0.67
"];
-0.64
})
-0.62
");
-0.62
!"
-0.60
})
-0.60
});
-0.60
POSITIVE LOGITS
»
1.78
»,
1.67
».
1.66
»)
1.52
!»
1.50
?»
1.48
.»
1.46
»،
1.45
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1.41
»-
1.41
Act
ivations
Density 0.387%
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