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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
2-GEMMASCOPE-RES-16K
15243
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MODEL
2-gemmascope-res-16k
Source/SAE
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Explanations
instances of the word "may" in various contexts
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 @ 2-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_2/width_16k/average_l0_141
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.2.hook_resid_post
Hook Layer
2
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Negative Logits
Armand
-0.59
Armand
-0.54
لفة
-0.53
trụ
-0.53
的基础
-0.53
Egger
-0.53
totta
-0.52
exhaus
-0.51
藹
-0.51
inama
-0.51
POSITIVE LOGITS
may
3.03
may
2.58
MAY
2.47
might
2.39
MAY
2.24
May
2.13
might
2.12
May
2.06
Might
1.98
Might
1.93
Act
ivations
Density 0.106%
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