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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
16-GEMMASCOPE-RES-16K
5923
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MODEL
16-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
percentage symbols and related syntax
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
Percentage signs followed by specific characters
np_acts-logits-general · gemini-2.0-flash
No Scores
% formatting
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 @ 16-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
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.16.hook_resid_post
Hook Layer
16
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/16-gemmascope-res-16k/5923?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/16-gemmascope-res-16k/5923?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
\"></
-0.73
GGLE
-0.70
dzie
-0.70
🏻
-0.69
;*/
-0.68
mati
-0.66
tret
-0.66
lias
-0.65
byd
-0.64
secta
-0.64
POSITIVE LOGITS
("%
1.13
%
1.11
\%$
1.11
="%
1.09
\%
1.06
-%
1.04
}%
1.03
%
1.03
,"%
0.96
('%
0.95
Act
ivations
Density 0.224%
Test
Steer
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