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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
35-GEMMASCOPE-RES-16K
5095
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MODEL
35-gemmascope-res-16k
Source/SAE
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Explanations
phrases that express personal thoughts, opinions, or reflections
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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-2-9B @ 35-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
How To Load
Prompts (Dashboard)
24,576 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.35.hook_resid_post
Hook Layer
35
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-9b/35-gemmascope-res-16k/5095?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
“
-0.59
「
-0.54
™.
-0.45
。「
-0.45
«
-0.44
"
-0.43
]])
-0.43
}).
-0.43
„
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))).
-0.42
POSITIVE LOGITS
[
0.83
,"
0.70
Datuak
0.69
[$
0.68
aarrggbb
0.62
veldig
0.62
"
0.61
[]"
0.60
()"
0.60
,’’
0.60
Act
ivations
Density 0.728%
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