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

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

Neuron 2858 in Layer 9

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

Text #0

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Max Act: 0.0112. Min Act: 0.0002

Data Index: 734933 (C4 (Web Text))

Max Activating Token Index: 641

Text #1

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Max Act: 0.0109. Min Act: -0.0000

Data Index: 1034722 (C4 (Web Text))

Max Activating Token Index: 443

Text #2

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Max Act: 0.0108. Min Act: 0.0000

Data Index: 1082550 (C4 (Web Text))

Max Activating Token Index: 540

Text #3

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Max Act: 0.0108. Min Act: 0.0002

Data Index: 954231 (C4 (Web Text))

Max Activating Token Index: 446

Text #4

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Max Act: 0.0106. Min Act: 0.0000

Data Index: 853811 (C4 (Web Text))

Max Activating Token Index: 524

Text #5

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Data Index: 427253 (C4 (Web Text))

Max Activating Token Index: 1010

Text #6

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Data Index: 32196 (C4 (Web Text))

Max Activating Token Index: 26

Text #7

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Max Activating Token Index: 374

Text #8

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Data Index: 267589 (C4 (Web Text))

Max Activating Token Index: 421

Text #9

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Data Index: 1241917 (C4 (Web Text))

Max Activating Token Index: 790

Text #10

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Data Index: 47530 (C4 (Web Text))

Max Activating Token Index: 521

Text #11

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Data Index: 571993 (C4 (Web Text))

Max Activating Token Index: 26

Text #12

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Data Index: 168653 (C4 (Web Text))

Max Activating Token Index: 351

Text #13

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Data Index: 398133 (C4 (Web Text))

Max Activating Token Index: 207

Text #14

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Max Activating Token Index: 990

Text #15

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Max Activating Token Index: 572

Text #16

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Text #17

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Data Index: 61362 (C4 (Web Text))

Max Activating Token Index: 949

Text #18

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Data Index: 635523 (C4 (Web Text))

Max Activating Token Index: 288

Text #19

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Data Index: 1585572 (Python Code)

Max Activating Token Index: 873