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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
3-GEMMASCOPE-RES-16K
10320
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MODEL
3-gemmascope-res-16k
Source/SAE
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Explanations
references to plates and their variations in context
oai_token-act-pair · gpt-4o-mini
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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 @ 3-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_3/width_16k/average_l0_90
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.3.hook_resid_post
Hook Layer
3
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-9b/3-gemmascope-res-16k/10320?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Sheet
-0.74
sheet
-0.70
SHEET
-0.67
Sheet
-0.66
heet
-0.62
heets
-0.61
sheets
-0.57
sheet
-0.55
Sheets
-0.52
Sheets
-0.52
POSITIVE LOGITS
plate
1.91
Plate
1.68
plate
1.63
plates
1.60
Plate
1.56
PLATE
1.51
Plates
1.45
plates
1.39
Plates
1.33
PLATE
1.31
Act
ivations
Density 0.099%
Stacked
Snippet
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No Known Activations