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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
31-GEMMASCOPE-RES-16K
3609
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MODEL
31-gemmascope-res-16k
Source/SAE
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Explanations
references to figures and tables in the document
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
No Scores
figure and table reference citations in scientific documents.
oai_token-act-pair · claude-4-5-haiku
Triggered by @emiglarou
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
Generate
Top Features by Cosine Similarity
Comparing With
GEMMA-2-9B @ 31-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_31/width_16k/average_l0_114
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.31.hook_resid_post
Hook Layer
31
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/31-gemmascope-res-16k/3609?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
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https://www.neuronpedia.org/gemma-2-9b/31-gemmascope-res-16k/3609?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
'))
-0.49
')))
-0.48
)))),
-0.48
</h3>
-0.47
"}}
-0.45
))),
-0.41
'))
-0.40
')),
-0.40
))))
-0.39
))
-0.39
POSITIVE LOGITS
]
0.98
][
0.93
!]
0.90
.]
0.90
].
0.88
?]
0.84
]
0.83
],
0.82
]
0.82
];
0.79
Act
ivations
Density 1.830%
Stacked
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