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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
15-GEMMASCOPE-RES-16K
4110
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MODEL
15-gemmascope-res-16k
Source/SAE
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Explanations
references to various types of bands and straps
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 @ 15-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_15/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.15.hook_resid_post
Hook Layer
15
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
rences
-0.86
̷
-0.81
')}}
-0.81
Läng
-0.75
Noe
-0.74
verg
-0.72
Faure
-0.72
McGuire
-0.68
Verme
-0.68
Boch
-0.66
POSITIVE LOGITS
BAND
1.38
bands
1.37
Band
1.36
Band
1.32
band
1.29
band
1.22
Bands
1.19
BAND
1.18
Bands
1.17
bands
1.12
Act
ivations
Density 0.080%
Test
Steer
Stacked
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