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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
12-GEMMASCOPE-RES-16K__L0-22
180
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MODEL
12-gemmascope-res-16k__l0-22
Source/SAE
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Configuration
google/gemma-scope-2b-pt-res/layer_12/width_16k/average_l0_22
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.12.hook_resid_post
Hook Layer
12
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gemma-2-2b/12-gemmascope-res-16k__l0-22/180?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-2b/12-gemmascope-res-16k__l0-22/180?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
-
-0.69
and
-0.67
eb
-0.66
and
-0.66
-0.61
to
-0.60
సౌకర్య
-0.60
es
-0.59
of
-0.57
inden
-0.57
POSITIVE LOGITS
/*
2.19
/*
1.52
__(/*!
1.42
(/*
1.37
/*
1.28
+/*
1.25
/**
1.22
={`/
1.17
:✨
1.15
}/*
1.13
Act
ivations
Density 0.010%
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