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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
24-GEMMASCOPE-RES-16K
6965
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MODEL
24-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
patterns or structures within text data
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
following conjunctions or relative pronouns
np_acts-logits-general · gemini-2.0-flash
No Scores
code and technical explanations
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
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
<iframe src="https://www.neuronpedia.org/gemma-2-2b/24-gemmascope-res-16k/6965?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/6965?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
-0.82
таратура
-0.78
-0.75
IsContent
-0.73
-0.72
-0.70
-0.70
@"/
-0.70
-0.68
//
-0.66
POSITIVE LOGITS
↵↵
1.25
↵↵↵
1.09
(
0.91
↵↵↵↵
0.83
↵↵↵↵↵
0.80
🙂
0.79
↵↵↵↵↵↵↵
0.74
↵↵↵↵↵↵
0.72
<em>
0.70
↵
0.67
Act
ivations
Density 0.219%
Test
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