Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3912 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0589. Min Act: -0.0002

Data Index: 1125163 (C4 (Web Text))

Max Activating Token Index: 81

Text #1

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Data Index: 156042 (C4 (Web Text))

Max Activating Token Index: 63

Text #2

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Max Act: 0.0572. Min Act: -0.0002

Data Index: 407052 (C4 (Web Text))

Max Activating Token Index: 175

Text #3

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Max Act: 0.0549. Min Act: -0.0002

Data Index: 452868 (C4 (Web Text))

Max Activating Token Index: 734

Text #4

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Data Index: 1186120 (C4 (Web Text))

Max Activating Token Index: 390

Text #5

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Data Index: 433418 (C4 (Web Text))

Max Activating Token Index: 802

Text #6

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Max Activating Token Index: 794

Text #7

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Max Activating Token Index: 416

Text #8

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Max Activating Token Index: 272

Text #9

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Max Activating Token Index: 816

Text #10

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Data Index: 596218 (C4 (Web Text))

Max Activating Token Index: 466

Text #11

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Data Index: 287167 (C4 (Web Text))

Max Activating Token Index: 24

Text #12

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Max Activating Token Index: 160

Text #13

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Data Index: 416904 (C4 (Web Text))

Max Activating Token Index: 747

Text #14

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Data Index: 1097814 (C4 (Web Text))

Max Activating Token Index: 555

Text #15

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Data Index: 203207 (C4 (Web Text))

Max Activating Token Index: 294

Text #16

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Max Activating Token Index: 98

Text #17

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Max Activating Token Index: 967

Text #18

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Data Index: 106470 (C4 (Web Text))

Max Activating Token Index: 640

Text #19

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Data Index: 1093535 (C4 (Web Text))

Max Activating Token Index: 560