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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
23-GEMMASCOPE-RES-16K
2277
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MODEL
23-gemmascope-res-16k
Source/SAE
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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-2-9B @ 23-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_23/width_16k/average_l0_120
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.23.hook_resid_post
Hook Layer
23
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/23-gemmascope-res-16k/2277?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-2-9b/23-gemmascope-res-16k/2277?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
SharedDtor
-0.91
vooz
-0.87
Infórmanos
-0.85
queſta
-0.85
مرئيه
-0.83
iſchen
-0.82
ſſung
-0.81
queſto
-0.80
pecabe
-0.79
ſelben
-0.78
POSITIVE LOGITS
1.16
1.13
1.13
0.99
0.97
0.97
0.94
0.94
0.93
0.91
Act
ivations
Density 0.056%
Stacked
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