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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
39-GEMMASCOPE-RES-16K
1390
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MODEL
39-gemmascope-res-16k
Source/SAE
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Explanations
technical terms and statistical measures relating to experimental design
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 @ 39-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
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.39.hook_resid_post
Hook Layer
39
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-9b/39-gemmascope-res-16k/1390?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
ybė
-0.30
Geplaatst
-0.30
HES
-0.28
ADORES
-0.28
鹅
-0.27
Económica
-0.27
➟
-0.27
nées
-0.27
ERT
-0.27
鵝
-0.26
POSITIVE LOGITS
CI
1.73
MI
1.61
JI
1.57
SI
1.57
CI
1.55
EI
1.55
PI
1.53
FI
1.52
KI
1.51
YI
1.51
Act
ivations
Density 1.643%
Stacked
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