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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
38-GEMMASCOPE-RES-16K
7606
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MODEL
38-gemmascope-res-16k
Source/SAE
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mathematical expressions and parameters related to statistical models
oai_token-act-pair · gpt-4o-mini
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AutoInterp Type
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
𝐽
-0.71
ZJ
-0.65
जे
-0.65
Joined
-0.63
VJ
-0.63
Joint
-0.62
IJ
-0.62
Jou
-0.59
J
-0.59
Junction
-0.58
POSITIVE LOGITS
j
1.16
j
1.05
الج
0.66
ji
0.54
ji
0.54
jj
0.52
j
0.51
ज
0.49
aj
0.49
ј
0.49
Act
ivations
Density 0.463%
Stacked
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