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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
35-GEMMASCOPE-RES-16K
15985
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MODEL
35-gemmascope-res-16k
Source/SAE
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Explanations
various attributes and structures associated with data representation in code and markup
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 35-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_35/width_16k/average_l0_120
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.35.hook_resid_post
Hook Layer
35
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/35-gemmascope-res-16k/15985?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/35-gemmascope-res-16k/15985?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
()]
-0.80
}],
-0.80
]
-0.79
;">
-0.79
)]
-0.76
]));
-0.75
}</
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]]
-0.72
ValueStyle
-0.71
)];
-0.71
POSITIVE LOGITS
”
1.12
"
0.96
",
0.95
”,
0.81
")
0.75
":
0.71
',
0.71
","
0.69
''
0.68
".
0.66
Act
ivations
Density 0.921%
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