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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
2-GEMMASCOPE-RES-16K
2070
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MODEL
2-gemmascope-res-16k
Source/SAE
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Explanations
mentions of the cosmetic brand CG and its related products or concepts
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 @ 2-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_2/width_16k/average_l0_67
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.2.hook_resid_post
Hook Layer
2
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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IFrame
<iframe src="https://www.neuronpedia.org/gemma-2-9b/2-gemmascope-res-16k/2070?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/2-gemmascope-res-16k/2070?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
neg
-0.48
Neg
-0.43
Neg
-0.41
Dietz
-0.41
propOrder
-0.40
rig
-0.39
脚注の使い方
-0.38
vagues
-0.38
ligation
-0.38
Lag
-0.36
POSITIVE LOGITS
CG
1.71
CG
1.70
MG
1.50
SG
1.48
PG
1.47
PG
1.45
FG
1.44
MG
1.43
DG
1.43
SG
1.43
Act
ivations
Density 0.462%
Stacked
Snippet
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