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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
13-GEMMASCOPE-RES-16K
5087
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MODEL
13-gemmascope-res-16k
Source/SAE
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Explanations
the use of ampersands in context
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-2-2B @ 13-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_13/width_16k/average_l0_84
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.13.hook_resid_post
Hook Layer
13
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Link
https://www.neuronpedia.org/gemma-2-2b/13-gemmascope-res-16k/5087?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
"){
-0.81
//}
-0.78
"]
-0.76
)";
-0.76
'}>
-0.74
"}>
-0.72
eseorang
-0.72
"]}
-0.71
":
-0.70
}}$}
-0.70
POSITIVE LOGITS
&
1.40
\&
1.21
&
1.10
amp
1.07
>&
0.98
(&
0.98
\&
0.96
=&
0.93
quot
0.92
.&
0.91
Act
ivations
Density 0.102%
Test
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