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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
39-GEMMASCOPE-RES-16K
3110
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MODEL
39-gemmascope-res-16k
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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 @ 39-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
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.39.hook_resid_post
Hook Layer
39
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Link
https://www.neuronpedia.org/gemma-2-9b/39-gemmascope-res-16k/3110?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
->
-0.84
Â
-0.83
Â
-0.82
`
-0.82
-
-0.79
`
-0.75
`,
-0.68
Ã
-0.66
-,
-0.65
â
-0.63
POSITIVE LOGITS
—
2.83
)—
2.27
"—
2.08
”—
2.06
!—
2.03
—"
1.98
?—
1.95
—(
1.89
.—
1.88
—“
1.88
Act
ivations
Density 0.710%
Stacked
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