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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
1-GEMMASCOPE-RES-16K
7041
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MODEL
1-gemmascope-res-16k
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Explanations
occurrences of the term "mu" related to energy or particle physics
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 @ 1-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_1/width_16k/average_l0_102
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.1.hook_resid_post
Hook Layer
1
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-2b/1-gemmascope-res-16k/7041?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
dealloc
-0.68
+#+
-0.63
Roskov
-0.58
δέ
-0.57
encomp
-0.56
Sandoval
-0.53
tanı
-0.53
amentals
-0.52
Rind
-0.52
místa
-0.52
POSITIVE LOGITS
mu
3.34
μ
2.09
μ
1.89
1.63
MU
1.61
µ
1.58
µ
1.56
𝜇
1.39
mu
1.30
1.16
Act
ivations
Density 0.183%
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