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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
7-GEMMASCOPE-RES-16K
13959
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MODEL
7-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
quantities and measurements related to cups and cooking utensils
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 @ 7-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
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.7.hook_resid_post
Hook Layer
7
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
.*")]
-0.40
Rui
-0.37
neri
-0.36
Judi
-0.33
ろし
-0.32
Zil
-0.32
elerik
-0.32
Adi
-0.32
Chic
-0.32
Reilly
-0.32
POSITIVE LOGITS
cup
3.08
Cup
2.83
Cup
2.78
cup
2.66
cups
2.64
Cups
2.47
CUP
2.47
CUP
2.25
cups
2.16
カップ
1.87
Act
ivations
Density 0.088%
Stacked
Snippet
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No Known Activations