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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
22-GEMMASCOPE-RES-16K
12963
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MODEL
22-gemmascope-res-16k
Source/SAE
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Explanations
various types of error messages and server response details
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
Alphanumeric strings and code snippets
np_acts-logits-general · gemini-2.0-flash
No Scores
closing code or data structures
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-2B @ 22-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_22/width_16k/average_l0_72
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.22.hook_resid_post
Hook Layer
22
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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IFrame
<iframe src="https://www.neuronpedia.org/gemma-2-2b/22-gemmascope-res-16k/12963?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/22-gemmascope-res-16k/12963?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
amaño
-0.77
ربای
-0.76
Dummies
-0.76
ſind
-0.74
NUMX
-0.73
Anſ
-0.72
photolibrary
-0.71
Efq
-0.71
xase
-0.70
$_(
-0.69
POSITIVE LOGITS
";
1.41
);
1.38
"));
1.37
");
1.32
"));
1.31
";
1.27
");
1.26
));
1.26
);
1.25
));
1.24
Act
ivations
Density 7.423%
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