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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
40-GEMMASCOPE-RES-16K
4114
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MODEL
40-gemmascope-res-16k
Source/SAE
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Explanations
specific programming-related terms and structures, particularly focusing on environment configurations and definitions
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-2-9B @ 40-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_40/width_16k/average_l0_125
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.40.hook_resid_post
Hook Layer
40
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
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-0.52
%");
-0.51
?"
-0.51
?—
-0.49
"—
-0.48
?...
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%#
-0.47
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))^
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-0.46
POSITIVE LOGITS
::
2.28
·
1.36
::
1.30
·
1.17
::_
1.04
::{
0.95
:::
0.88
::__
0.86
::$
0.85
・
0.83
Act
ivations
Density 0.390%
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