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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
24-GEMMASCOPE-RES-16K
14880
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MODEL
24-gemmascope-res-16k
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Explanations
structured data formats or representations
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
Text fragments including dashes and symbols
np_acts-logits-general · gemini-2.0-flash
No Scores
tissue repair, assess vigorous
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 @ 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/14880?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/14880?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
(‘
-0.94
),”
-0.79
(“
-0.75
(«
-0.72
=");
-0.67
')
-0.66
';
-0.65
=/
-0.65
’.”
-0.65
='/
-0.64
POSITIVE LOGITS
"
1.72
'
1.28
“
0.96
''
0.83
`
0.82
”
0.68
//"
0.68
"!
0.67
"'
0.65
"?
0.65
Act
ivations
Density 0.074%
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