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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
34-GEMMASCOPE-RES-16K
14069
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MODEL
34-gemmascope-res-16k
Source/SAE
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Explanations
specific biological and medical terminologies related to cancer research and cellular characteristics
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 @ 34-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_34/width_16k/average_l0_114
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.34.hook_resid_post
Hook Layer
34
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/34-gemmascope-res-16k/14069?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
/*
-0.64
+:+
-0.60
aka
-0.59
AKA
-0.58
[]);
-0.56
(=
-0.56
、【
-0.54
Numerade
-0.54
invokingState
-0.53
()];
-0.52
POSITIVE LOGITS
”(
0.90
})(
0.80
"(
0.75
」(
0.74
)(
0.73
“(
0.71
)(
0.70
”(
0.69
"(
0.69
))(
0.66
Act
ivations
Density 1.828%
Stacked
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