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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
40-GEMMASCOPE-RES-16K
1558
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MODEL
40-gemmascope-res-16k
Source/SAE
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Explanations
programming constructs and database functionality in code
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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https://www.neuronpedia.org/gemma-2-9b/40-gemmascope-res-16k/1558?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
"");
-0.51
")]
-0.51
"";
-0.49
{};
-0.48
MigrationBuilder
-0.46
="";
-0.46
'';
-0.46
[]
-0.45
{}".
-0.45
()));
-0.45
POSITIVE LOGITS
↵
1.56
\
0.84
(
0.84
\
0.81
\
0.77
=
0.77
↵↵
0.71
0.69
,
0.69
+
0.69
Act
ivations
Density 1.662%
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