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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
34-GEMMASCOPE-RES-16K
9393
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MODEL
34-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
references to health-related terms and data, particularly concerning viruses and medical statistics
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 @ 34-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
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.34.hook_resid_post
Hook Layer
34
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Link
https://www.neuronpedia.org/gemma-2-9b/34-gemmascope-res-16k/9393?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
duty
-0.51
awtextra
-0.50
DOI
-0.50
-0.50
joão
-0.47
doi
-0.47
rungsseite
-0.47
dup
-0.47
duplex
-0.47
CDK
-0.46
POSITIVE LOGITS
D
2.45
d
2.19
D
1.76
د
1.42
getD
1.40
д
1.23
Д
1.23
d
1.18
ד
0.91
Д
0.87
Act
ivations
Density 0.712%
Stacked
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