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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
0-GEMMASCOPE-RES-16K
9611
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MODEL
0-gemmascope-res-16k
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Explanations
references to specific genes, proteins, or other biological markers related to cancer research
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 66
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 0-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
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.0.hook_resid_post
Hook Layer
0
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/0-gemmascope-res-16k/9611?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/0-gemmascope-res-16k/9611?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
k
-1.09
הק
-0.62
к
-0.61
الك
-0.60
k
-0.56
ｋ
-0.44
ک
-0.44
Bewußt
-0.44
oredCriteria
-0.44
ke
-0.42
POSITIVE LOGITS
Ki
1.17
Kin
1.17
Kin
1.17
Ki
1.12
Kal
1.10
Ka
1.09
Kinetic
1.09
Ka
1.09
Kit
1.06
KK
1.06
Act
ivations
Density 1.087%
Stacked
Snippet
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No Known Activations
