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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
39-GEMMASCOPE-RES-16K
769
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MODEL
39-gemmascope-res-16k
Source/SAE
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Explanations
elements related to Python coding practices and imports
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 @ 39-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_39/width_16k/average_l0_131
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.39.hook_resid_post
Hook Layer
39
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
//
-1.55
)//
-1.45
//
-1.25
//
-1.24
—
-1.22
,//
-1.20
{//
-1.12
{//
-1.12
+//
-1.11
}//
-1.09
POSITIVE LOGITS
#
1.65
#
1.65
##
1.20
#,
1.20
##
1.14
,#
1.09
#"
1.06
\#
1.06
#'
1.05
;#
1.03
Act
ivations
Density 0.369%
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