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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
0-GEMMASCOPE-RES-16K
15005
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0-gemmascope-res-16k
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code-related structures and syntax elements
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 71
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 0-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_0/width_16k/average_l0_129
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.0.hook_resid_post
Hook Layer
0
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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IFrame
<iframe src="https://www.neuronpedia.org/gemma-2-9b/0-gemmascope-res-16k/15005?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-9b/0-gemmascope-res-16k/15005?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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de
-0.47
ge
-0.47
\\
-0.46
out
-0.45
van
-0.45
pel
-0.44
edit
-0.44
↵
-0.44
ai
-0.44
,
-0.44
POSITIVE LOGITS
"):
0.92
queſta
0.86
'):
0.85
"])
0.84
"];
0.83
"]);
0.81
")));
0.80
":
0.79
]:
0.79
")){
0.78
Act
ivations
Density 0.385%
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