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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
38-GEMMASCOPE-RES-16K
8883
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MODEL
38-gemmascope-res-16k
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technical terms related to experiments and results in scientific research
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 @ 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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https://www.neuronpedia.org/gemma-2-9b/38-gemmascope-res-16k/8883?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
-1.04
-0.97
´
-0.95
-0.92
‘’
-0.90
-0.90
¨
-0.87
-0.81
�
-0.81
.
-0.79
POSITIVE LOGITS
$\$
2.05
$\
2.03
\&
1.86
$\&$
1.84
$=$
1.79
$(\
1.77
$=
1.75
${
1.74
$<
1.72
$=\
1.70
Act
ivations
Density 7.152%
Stacked
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