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GEMMA-2-9B · 40-GEMMASCOPE-RES-16K · 8324 ｜ Neuronpedia
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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
40-GEMMASCOPE-RES-16K
8324
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MODEL
40-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
specific components and parameters related to health assessment and medical studies
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 40-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
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.40.hook_resid_post
Hook Layer
40
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
LayoutStyle
-0.35
lọc
-0.34
Jacek
-0.33
trấn
-0.32
chiếu
-0.32
FEC
-0.31
Joc
-0.31
梶
-0.29
FEC
-0.29
Burton
-0.29
POSITIVE LOGITS
RH
1.68
LH
1.67
MH
1.63
FH
1.61
GH
1.59
EH
1.58
AH
1.57
BH
1.56
RH
1.55
LH
1.52
Act
ivations
Density 2.186%
Stacked
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