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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
7-GEMMASCOPE-RES-16K
15961
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MODEL
7-gemmascope-res-16k
Source/SAE
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Explanations
words related to the "qu" prefix and its variations in various contexts
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-2-9B @ 7-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_7/width_16k/average_l0_92
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.7.hook_resid_post
Hook Layer
7
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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https://www.neuronpedia.org/gemma-2-9b/7-gemmascope-res-16k/15961?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
MST
-0.50
Borne
-0.48
DTD
-0.47
DMS
-0.46
hm
-0.46
/*-
-0.46
Internal
-0.45
Mae
-0.45
DD
-0.45
MST
-0.45
POSITIVE LOGITS
qu
1.38
qu
1.27
Qu
1.21
Qu
1.20
QU
1.10
QU
1.09
quench
1.04
Quig
1.03
quill
1.03
Quay
1.03
Act
ivations
Density 0.528%
Stacked
Snippet
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