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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
38-GEMMASCOPE-RES-16K
9696
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MODEL
38-gemmascope-res-16k
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oai_token-act-pair · gpt-4o-mini
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claude-4-5-haiku
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Comparing With
GEMMA-2-9B @ 38-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_38/width_16k/average_l0_128
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.38.hook_resid_post
Hook Layer
38
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
Doing
-0.97
Doing
-0.94
DOING
-0.90
doing
-0.78
Done
-0.77
Done
-0.74
ſt
-0.70
DONE
-0.69
ſta
-0.64
ſte
-0.61
POSITIVE LOGITS
do
1.25
does
0.69
did
0.43
vastaan
0.42
do
0.41
du
0.41
saira
0.40
da
0.39
dne
0.39
due
0.39
Act
ivations
Density 0.212%
Stacked
Snippet
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