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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
0-GEMMASCOPE-RES-16K
12654
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MODEL
0-gemmascope-res-16k
Source/SAE
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Explanations
references to a specific author or entity, particularly denoted by the letter 'D'
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
Avg Score: 80
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
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https://www.neuronpedia.org/gemma-2-9b/0-gemmascope-res-16k/12654?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
"}\
-0.44
>');
-0.44
schö
-0.43
'}';
-0.43
"}";
-0.42
}
-0.42
]};
-0.41
}');
-0.40
ogne
-0.40
oa̍t
-0.40
POSITIVE LOGITS
d
0.93
D
0.88
д
0.80
د
0.73
d
0.66
getD
0.60
Д
0.59
xd
0.59
SD
0.57
مشين
0.56
Act
ivations
Density 0.418%
Stacked
Snippet
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No Known Activations