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Google DeepMind · Exploring Gemma 2 with Gemma Scope
Gemma-2-2B
Residual Stream - 16k
15-GEMMASCOPE-RES-16K
1463
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MODEL
15-gemmascope-res-16k
Source/SAE
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Explanations
references to individuals with the title "Mr." followed by names
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-2-2B @ 15-gemmascope-res-16k
Configuration
google/gemma-scope-2b-pt-res/layer_15/width_16k/average_l0_78
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.15.hook_resid_post
Hook Layer
15
Architecture
jumprelu
Context Size
1,024
Dataset
monology/pile-uncopyrighted
Activation Function
relu
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Link
https://www.neuronpedia.org/gemma-2-2b/15-gemmascope-res-16k/1463?embed=true&embedexplanation=true&embedplots=true&embedsteer=true&embedactivations=true&embedlink=true&embedtest=true
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Negative Logits
."</
-0.80
=()
-0.72
Ẽ
-0.72
ագրություններ
-0.72
])).
-0.72
')")
-0.71
/).
-0.71
″]
-0.70
*/;
-0.69
)')
-0.68
POSITIVE LOGITS
Mr
0.93
Mr
0.90
Sirs
0.88
Mrs
0.81
R
0.76
Dr
0.76
Mrs
0.75
Sir
0.75
Dr
0.73
monsieur
0.72
Act
ivations
Density 0.102%
Test
Steer
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