Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

Dataset: 80% C4 (Web Text) and 20% Python Code

Neuron 2011 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0272. Min Act: -0.0003

Data Index: 956467 (C4 (Web Text))

Max Activating Token Index: 268

Text #1

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Max Act: 0.0243. Min Act: -0.0003

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Max Activating Token Index: 296

Text #2

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Max Act: 0.0256. Min Act: -0.0003

Data Index: 1297326 (C4 (Web Text))

Max Activating Token Index: 785

Text #3

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Max Act: 0.0258. Min Act: -0.0003

Data Index: 445813 (C4 (Web Text))

Max Activating Token Index: 292

Text #4

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Max Act: 0.0251. Min Act: -0.0003

Data Index: 691743 (C4 (Web Text))

Max Activating Token Index: 451

Text #5

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Max Activating Token Index: 782

Text #6

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Data Index: 1090197 (C4 (Web Text))

Max Activating Token Index: 357

Text #7

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Max Activating Token Index: 923

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Max Activating Token Index: 6

Text #9

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Max Activating Token Index: 422

Text #10

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Max Activating Token Index: 836

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Max Activating Token Index: 685

Text #12

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Max Activating Token Index: 303

Text #13

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Max Activating Token Index: 29

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 447

Text #17

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Max Activating Token Index: 254

Text #18

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Max Activating Token Index: 440

Text #19

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Data Index: 886557 (C4 (Web Text))

Max Activating Token Index: 406