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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
38-GEMMASCOPE-RES-16K
7847
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MODEL
38-gemmascope-res-16k
Source/SAE
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numerical data and statistical information
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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 @ 38-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
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.38.hook_resid_post
Hook Layer
38
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gemma-2-9b/38-gemmascope-res-16k/7847?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-2-9b/38-gemmascope-res-16k/7847?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
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POSITIVE LOGITS
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<blockquote>
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and
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https
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[
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Act
ivations
Density 1.830%
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