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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
7-GEMMASCOPE-RES-16K
6117
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MODEL
7-gemmascope-res-16k
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Explanations
variations and formats related to data presentation and analysis
oai_token-act-pair · gpt-4o-mini
Triggered by @bot
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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 @ 7-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_7/width_16k/average_l0_69
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.7.hook_resid_post
Hook Layer
7
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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<iframe src="https://www.neuronpedia.org/gemma-2-2b/7-gemmascope-res-16k/6117?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true" title="Neuronpedia" style="height: 300px; width: 540px;"></iframe>
Link
https://www.neuronpedia.org/gemma-2-2b/7-gemmascope-res-16k/6117?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
المعيارى
-1.02
myſelf
-0.90
ſtate
-0.89
purpoſe
-0.86
juſ
-0.85
houſe
-0.83
فایللار
-0.82
+#+#
-0.82
itſelf
-0.79
ſy
-0.79
POSITIVE LOGITS
0.83
:
0.81
“
0.75
=
0.75
:
0.70
共に
0.66
is
0.66
?
0.63
?
0.62
-
0.61
Act
ivations
Density 0.482%
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