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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B-IT
Residual Stream - 131k
9-GEMMASCOPE-RES-131K
42955
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MODEL
9-gemmascope-res-131k
Source/SAE
INDEX
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Explanations
the repeated mention of the term "Bah" in various contexts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
bah and bahn words
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
Comparing With
GEMMA-2-9B-IT @ 9-gemmascope-res-131k
Configuration
google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
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.9.hook_resid_post
Hook Layer
9
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
Tyler
-0.38
inside
-0.38
Inside
-0.37
Holt
-0.37
inside
-0.37
Inside
-0.37
ident
-0.35
<eos>
-0.35
Willi
-0.35
Whit
-0.34
POSITIVE LOGITS
Bah
2.45
Bah
2.41
bah
2.13
bah
1.90
BAH
1.77
BAH
1.61
Bahn
1.27
Bahn
1.27
bahn
1.23
Bahrain
1.16
Act
ivations
Density 0.003%
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