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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
0-GEMMASCOPE-RES-16K
4870
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0-gemmascope-res-16k
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percentages and numerical values related to data analysis
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 85
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 0-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
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.0.hook_resid_post
Hook Layer
0
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-9b/0-gemmascope-res-16k/4870?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
\_
-0.47
preparation
-0.45
$\
-0.42
Sand
-0.41
Dub
-0.40
Kline
-0.40
Lab
-0.40
Gambas
-0.39
Rud
-0.39
du
-0.39
POSITIVE LOGITS
%
2.56
%)
2.50
%,
2.44
%
2.41
%"
2.36
%.
2.36
%'
2.36
%",
2.30
%;
2.27
%',
2.25
Act
ivations
Density 0.265%
Stacked
Snippet
Full
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No Known Activations