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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
30-GEMMASCOPE-RES-16K
14023
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MODEL
30-gemmascope-res-16k
Source/SAE
INDEX
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Explanations
references to figures and tables in scientific documents
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
figures or tables
np_acts-logits-general · gemini-2.0-flash
No Scores
figure and table citations
np_acts-logits-general · gemini-2.5-flash-lite
No Scores
New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 30-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_30/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.30.hook_resid_post
Hook Layer
30
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Link
https://www.neuronpedia.org/gemma-2-9b/30-gemmascope-res-16k/14023?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
'))
-0.47
')))
-0.47
</h3>
-0.46
)))),
-0.46
"}}
-0.45
))))
-0.41
'))
-0.40
'));
-0.40
))
-0.40
))),
-0.40
POSITIVE LOGITS
]
0.98
!]
0.95
.]
0.93
?]
0.90
][
0.88
].
0.86
]
0.86
*]
0.82
]
0.82
],
0.81
Act
ivations
Density 1.822%
Stacked
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