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GEMMA-2-2B · 3-GEMMASCOPE-RES-16K · 9256 ｜ Neuronpedia
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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
3-GEMMASCOPE-RES-16K
9256
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MODEL
3-gemmascope-res-16k
Source/SAE
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Explanations
references to various types of bags
oai_token-act-pair · gpt-4o-mini
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New Auto-Interp
AutoInterp Type
claude-4-5-haiku
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Top Features by Cosine Similarity
Comparing With
GEMMA-2-2B @ 3-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_3/width_16k/average_l0_59
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.3.hook_resid_post
Hook Layer
3
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/3-gemmascope-res-16k/9256?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
__))
-0.83
]-->
-0.81
хьтан
-0.79
}}/>
-0.79
EPIC
-0.78
EPIC
-0.78
/**
-0.78
']],
-0.77
Viki
-0.76
enumii
-0.75
POSITIVE LOGITS
bag
3.52
bags
3.34
bag
3.30
Bag
3.12
Bag
3.07
bags
2.95
Bags
2.89
BAG
2.86
BAG
2.63
Bags
2.56
Act
ivations
Density 0.038%
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