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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
16-GEMMASCOPE-RES-16K
6028
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MODEL
16-gemmascope-res-16k
Source/SAE
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Explanations
references to car manufacturing and industry-related terms
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
Text after ">" character
np_acts-logits-general · gemini-2.0-flash
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compiz, enigmail, http links
np_acts-logits-general · gemini-2.5-flash-lite
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GEMMA-2-2B @ 16-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_16/width_16k/average_l0_78
How To Load
Prompts (Dashboard)
36,864 prompts, 128 tokens each
Dataset (Dashboard)
monology/pile-uncopyrighted
Features
16,384
Data Type
float32
Hook Name
blocks.16.hook_resid_post
Hook Layer
16
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Explanation
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Default Test Text
IFrame
<iframe src=https://www.neuronpedia.org/gemma-2-2b/16-gemmascope-res-16k/6028?embed=true&embedexplanation=true&embedplots=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-2b/16-gemmascope-res-16k/6028?embed=true&embedexplanation=true&embedplots=true&embedtest=true
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Negative Logits
.
-1.41
().
-0.96
».
-0.92
%.
-0.90
."""
-0.89
**.
-0.88
).
-0.88
.}
-0.87
™.
-0.87
。
-0.86
POSITIVE LOGITS
_
0.89
)");
0.89
++
0.89
__':
0.86
}))
0.86
]))
0.85
"))
0.84
)";
0.83
sizeCache
0.83
])
0.83
Act
ivations
Density 0.659%
Test
Steer
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