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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
34-GEMMASCOPE-RES-16K
13598
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MODEL
34-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 @ 34-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
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.34.hook_resid_post
Hook Layer
34
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-9b/34-gemmascope-res-16k/13598?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
՝
-0.44
=>
-0.41
kuitenkin
-0.37
――
-0.34
():
-0.33
dlatego
-0.33
—
-0.32
—
-0.32
():
-0.32
什么呢
-0.31
POSITIVE LOGITS
etc
1.18
ועוד
1.04
etc
1.01
などなど
0.96
等等
0.95
usw
0.94
itd
0.84
Etc
0.82
Signalez
0.79
Etc
0.78
Act
ivations
Density 0.925%
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