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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
28-GEMMASCOPE-RES-16K
2767
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MODEL
28-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
phrases indicating statistical measures of rate or frequency
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
"rate"
np_acts-logits-general · gemini-2.0-flash
No Scores
rate of
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 28-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_28/width_16k/average_l0_119
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.28.hook_resid_post
Hook Layer
28
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
unicode
-0.52
Isk
-0.46
Eisen
-0.46
Dux
-0.45
Cher
-0.43
Hei
-0.43
Dupont
-0.42
Cher
-0.41
Belf
-0.41
Hew
-0.40
POSITIVE LOGITS
rate
1.03
Rate
0.98
rates
0.94
Rates
0.91
RATE
0.90
Rates
0.90
Rate
0.90
RATE
0.86
RATES
0.82
rate
0.81
Act
ivations
Density 0.305%
Stacked
Snippet
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No Known Activations