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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
3-GEMMASCOPE-RES-16K
11993
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MODEL
3-gemmascope-res-16k
Source/SAE
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Explanations
references to GitHub repositories and associated metadata
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 @ 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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<iframe src="https://www.neuronpedia.org/gemma-2-2b/3-gemmascope-res-16k/11993?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/3-gemmascope-res-16k/11993?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
smooth
-0.51
đồ
-0.50
Eksterne
-0.50
smooth
-0.49
ecg
-0.49
smo
-0.49
sweet
-0.48
pośred
-0.47
↵
-0.47
↵↵
-0.47
POSITIVE LOGITS
KP
1.28
KF
1.15
KC
1.15
Ks
1.15
KT
1.15
KG
1.13
kp
1.12
KB
1.12
KM
1.12
KS
1.12
Act
ivations
Density 0.704%
Test
Steer
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