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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
MLP Out - 16k
19-GEMMASCOPE-MLP-16K
10981
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19-gemmascope-mlp-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-2-2B @ 19-gemmascope-mlp-16k
Configuration
google/gemma-scope-2b-pt-mlp/layer_19/width_16k/average_l0_109
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.19.hook_mlp_out
Hook Layer
19
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/19-gemmascope-mlp-16k/10981?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
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https://www.neuronpedia.org/gemma-2-2b/19-gemmascope-mlp-16k/10981?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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'{
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مصادر
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/>";
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"',
0.84
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'.$
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0.68
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ivations
Density 0.459%
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