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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B-IT
Residual Stream - 131k
9-GEMMASCOPE-RES-131K
60565
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MODEL
9-gemmascope-res-131k
Source/SAE
INDEX
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Explanations
references to the term "burn" in various contexts
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
Clyburn and burn
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B-IT @ 9-gemmascope-res-131k
Configuration
google/gemma-scope-9b-it-res/layer_9/width_131k/average_l0_121
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.9.hook_resid_post
Hook Layer
9
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
Keyes
-0.61
للمعارف
-0.52
Paco
-0.51
Mada
-0.51
dix
-0.51
withId
-0.50
Aja
-0.50
ⓧ
-0.49
osy
-0.49
Ideas
-0.49
POSITIVE LOGITS
burn
2.81
burn
2.64
Burn
2.48
Burn
2.47
BURN
2.41
BURN
2.23
burns
1.88
burns
1.77
burned
1.70
burned
1.63
Act
ivations
Density 0.005%
Test
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