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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
3-GEMMASCOPE-RES-16K
3993
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MODEL
3-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
repeated mentions or variations of a specific character or term
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 @ 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/3993?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Scha
-0.52
änien
-0.44
Shaft
-0.41
Scha
-0.41
Shade
-0.40
ksikon
-0.40
scha
-0.40
schema
-0.39
casio
-0.39
teil
-0.37
POSITIVE LOGITS
sh
3.36
Sh
3.14
Sh
2.95
sh
2.72
SH
1.87
SH
1.63
shunt
1.48
shur
1.16
ш
1.16
Shh
1.15
Act
ivations
Density 0.110%
Stacked
Snippet
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