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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
37-GEMMASCOPE-RES-16K
7859
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MODEL
37-gemmascope-res-16k
Source/SAE
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Explanations
technical domain-specific terms and programming-related syntax
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 @ 37-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_37/width_16k/average_l0_124
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.37.hook_resid_post
Hook Layer
37
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-9b/37-gemmascope-res-16k/7859?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
──
-0.86
—–
-0.77
”—
-0.73
,—
-0.69
––
-0.68
———
-0.66
)—
-0.61
—“
-0.60
〝
-0.59
——–
-0.59
POSITIVE LOGITS
-
1.95
-,
1.18
-}
1.08
-.
0.98
-"
0.93
-'
0.90
-\
0.84
-)
0.83
$-
0.82
-(
0.79
Act
ivations
Density 1.075%
Stacked
Snippet
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