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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
36-GEMMASCOPE-RES-16K
16009
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MODEL
36-gemmascope-res-16k
Source/SAE
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Explanations
technical terms and code-related language, particularly in web development and database contexts
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 @ 36-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_36/width_16k/average_l0_120
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.36.hook_resid_post
Hook Layer
36
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/36-gemmascope-res-16k/16009?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Br
-1.59
br
-1.58
BR
-1.53
Br
-1.45
br
-1.42
BR
-1.41
브
-1.35
bri
-1.26
Bru
-1.24
bru
-1.24
POSITIVE LOGITS
Ba
0.48
ba
0.48
Ba
0.45
ba
0.43
Cyfeiriadau
0.42
bat
0.41
Bo
0.40
Boh
0.39
bo
0.38
BA
0.38
Act
ivations
Density 1.462%
Stacked
Snippet
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No Known Activations