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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
3-GEMMASCOPE-RES-16K
14101
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MODEL
3-gemmascope-res-16k
Source/SAE
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Explanations
the repeated usage of the prefix "Pra" in various contexts, indicating a focus on words starting with that prefix
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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Interpretable Score
Intrusion Detection
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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Negative Logits
Elias
-0.67
OCC
-0.66
ick
-0.64
Esch
-0.62
inca
-0.61
ciel
-0.59
تك
-0.59
OCC
-0.59
sete
-0.59
Jocelyn
-0.59
POSITIVE LOGITS
Pra
2.42
Pra
2.25
pra
1.97
pra
1.94
PRA
1.55
Пра
1.25
Пра
1.12
PRA
1.10
prawn
1.08
Praw
1.05
Act
ivations
Density 0.079%
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