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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
40-GEMMASCOPE-RES-16K
7324
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MODEL
40-gemmascope-res-16k
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Explanations
phrases related to research studies and their methodologies
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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Negative Logits
WILL
-1.29
will
-1.29
Will
-1.14
Will
-1.10
WILL
-0.95
shall
-0.78
Shall
-0.69
Would
-0.51
akan
-0.50
Shall
-0.49
POSITIVE LOGITS
0.96
0.95
ꊥ
0.93
𑄝
0.93
Weiſe
0.92
𑄥
0.92
⩖
0.92
ꘋ
0.92
𑄪
0.92
0.92
Act
ivations
Density 0.146%
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