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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
16-GEMMASCOPE-RES-16K
4718
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MODEL
16-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
phrases related to political discourse and actions, particularly in the context of governance and regulations
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
preceding "assessing" and similar words
np_acts-logits-general · gemini-2.0-flash
No Scores
when assessing
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Interpretable Score
Intrusion Detection
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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Link
https://www.neuronpedia.org/gemma-2-2b/16-gemmascope-res-16k/4718?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
.
-1.01
®.
-0.93
].
-0.93
。
-0.92
).
-0.90
".
-0.87
}.
-0.86
.\\
-0.82
.
-0.82
}$.
-0.82
POSITIVE LOGITS
리는
0.85
")==
0.79
betweenstory
0.76
들은
0.75
이는
0.72
noqa
0.72
것은
0.71
"]=
0.70
지는
0.69
서는
0.68
Act
ivations
Density 2.279%
Test
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