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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-9B
Residual Stream - 16k
33-GEMMASCOPE-RES-16K
6076
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MODEL
33-gemmascope-res-16k
Source/SAE
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Explanations
words and phrases related to measurement and description of structures and characteristics, particularly in a scientific context involving tails
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 @ 33-gemmascope-res-16k
Configuration
google/gemma-scope-9b-pt-res/layer_33/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.33.hook_resid_post
Hook Layer
33
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
Hod
-0.33
Kub
-0.32
лин
-0.30
Attr
-0.30
zuk
-0.29
Fel
-0.28
تش
-0.28
}}^{
-0.28
uo
-0.28
Fre
-0.28
POSITIVE LOGITS
tail
3.09
Tail
2.69
tails
2.67
Tail
2.55
tail
2.55
TAIL
2.33
Tails
2.19
tails
2.16
TAIL
2.13
Tails
2.05
Act
ivations
Density 0.539%
Stacked
Snippet
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