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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
24-GEMMASCOPE-RES-16K
8119
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24-gemmascope-res-16k
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oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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np_acts-logits-general · gemini-2.0-flash
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in spite of
np_acts-logits-general · gemini-2.5-flash-lite
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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-2-2B @ 24-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_24/width_16k/average_l0_73
How To Load
Prompts (Dashboard)
36,864 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.24.hook_resid_post
Hook Layer
24
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gemma-2-2b/24-gemmascope-res-16k/8119?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-2b/24-gemmascope-res-16k/8119?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
rungsseite
-0.66
bootstrapcdn
-0.58
抠
-0.57
팎
-0.56
剪影
-0.56
Tikang
-0.56
ivelany
-0.55
花纹
-0.55
手绘
-0.55
onOptions
-0.52
POSITIVE LOGITS
（
0.77
、
0.73
。
0.70
，
0.69
？
0.68
：
0.68
（
0.65
）
0.63
「
0.63
的
0.62
Act
ivations
Density 9.684%
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