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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B-IT
Residual Stream - 131k
31-GEMMASCOPE-RES-131K
40005
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MODEL
31-gemmascope-res-131k
Source/SAE
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Explanations
names of plants or specific biological classifications
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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citations with colons and numbers
np_acts-logits-general · gemini-2.5-flash-lite
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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-IT @ 31-gemmascope-res-131k
Configuration
google/gemma-scope-9b-it-res/layer_31/width_131k/average_l0_109
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
131,072
Data Type
float32
Hook Name
blocks.31.hook_resid_post
Hook Layer
31
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
nya
-0.72
ness
-0.71
ם
-0.59
ن
-0.58
น
-0.56
نا
-0.56
ს
-0.53
cation
-0.53
ts
-0.52
nat
-0.50
POSITIVE LOGITS
깐
0.60
iiii
0.54
Gabi
0.52
uci
0.52
ی
0.52
hdi
0.52
ppi
0.51
Miri
0.50
Di
0.50
rici
0.50
Act
ivations
Density 0.455%
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