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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
11-GEMMASCOPE-RES-16K
9904
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MODEL
11-gemmascope-res-16k
Source/SAE
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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 @ 11-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_11/width_16k/average_l0_80
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.11.hook_resid_post
Hook Layer
11
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/11-gemmascope-res-16k/9904?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/11-gemmascope-res-16k/9904?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
er
-1.01
drag
-0.81
<%=
-0.81
-0.76
ler
-0.73
ER
-0.73
CONC
-0.71
AssemblyVersion
-0.70
REA
-0.69
paramref
-0.68
POSITIVE LOGITS
1.59
1.19
1.12
1.06
1.04
0.97
0.94
0.89
0.86
0.84
Act
ivations
Density 0.000%
Test
Steer
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