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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
5-GEMMASCOPE-RES-16K
1771
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MODEL
5-gemmascope-res-16k
Source/SAE
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Explanations
evidence of effectiveness or success in various contexts
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-2-2B @ 5-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_5/width_16k/average_l0_68
How To Load
Prompts (Dashboard)
36,864 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.5.hook_resid_post
Hook Layer
5
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-2b/5-gemmascope-res-16k/1771?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
(
-0.68
McCarthy
-0.58
/
-0.57
-0.56
Katz
-0.55
(
-0.54
Katz
-0.53
[
-0.52
co
-0.51
f
-0.50
POSITIVE LOGITS
proved
1.79
proves
1.74
Prove
1.63
prove
1.58
proving
1.56
proven
1.52
Proving
1.52
prove
1.46
Prove
1.43
proved
1.42
Act
ivations
Density 0.137%
Test
Steer
Stacked
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