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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
22-GEMMASCOPE-RES-16K
6332
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MODEL
22-gemmascope-res-16k
Source/SAE
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Explanations
words or phrases related to dominant variables in statistical contexts, specifically focusing on letter combinations and probabilistic assessments
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 @ 22-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_22/width_16k/average_l0_123
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.22.hook_resid_post
Hook Layer
22
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
izon
-0.53
RTSC
-0.52
慨
-0.51
CEA
-0.51
VOA
-0.50
Farrell
-0.48
HEA
-0.47
stahl
-0.47
FEA
-0.47
-0.47
POSITIVE LOGITS
k
0.74
kk
0.67
kkkk
0.64
ck
0.63
ky
0.62
K
0.61
ak
0.60
𝘬
0.59
pk
0.59
ke
0.59
Act
ivations
Density 1.210%
Stacked
Snippet
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No Known Activations