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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
3-GEMMASCOPE-RES-16K
10854
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3-gemmascope-res-16k
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Explanations
references to the word "Su" and its variations in the document
oai_token-act-pair · gpt-4o-mini
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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-2-2B @ 3-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
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.3.hook_resid_post
Hook Layer
3
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-2b/3-gemmascope-res-16k/10854?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
Kamen
-0.68
మూ
-0.65
Kast
-0.63
ẵn
-0.63
WEBPACK
-0.63
Zem
-0.61
Ehrlich
-0.61
퓨
-0.61
ঞ
-0.60
sene
-0.59
POSITIVE LOGITS
Su
3.01
Su
2.93
su
2.45
su
2.34
SU
2.31
SU
2.01
Sutherland
1.70
Suzy
1.60
Suarez
1.59
Су
1.51
Act
ivations
Density 0.075%
Test
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