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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
34-GEMMASCOPE-RES-16K
13451
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MODEL
34-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
conversational phrases and expressions of personal thoughts or experiences
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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 @ 34-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
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.34.hook_resid_post
Hook Layer
34
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Link
https://www.neuronpedia.org/gemma-2-9b/34-gemmascope-res-16k/13451?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
‘
-1.49
…’
-1.35
’)
-1.31
’).
-1.31
’,
-1.31
=’
-1.30
(‘
-1.30
.’
-1.28
,’
-1.27
’.
-1.26
POSITIVE LOGITS
'
1.69
"
1.43
'
1.23
。"
1.09
("
1.09
..."
1.02
"'
0.99
,"
0.99
:"
0.98
"
0.98
Act
ivations
Density 5.686%
Stacked
Snippet
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