Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 388 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0158. Min Act: -0.0004

Data Index: 1183584 (C4 (Web Text))

Max Activating Token Index: 453

Text #1

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Data Index: 406592 (C4 (Web Text))

Max Activating Token Index: 34

Text #2

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Max Act: 0.0145. Min Act: -0.0004

Data Index: 520745 (C4 (Web Text))

Max Activating Token Index: 551

Text #3

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Max Act: 0.0146. Min Act: -0.0004

Data Index: 619879 (C4 (Web Text))

Max Activating Token Index: 739

Text #4

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Max Act: 0.0147. Min Act: -0.0004

Data Index: 660979 (C4 (Web Text))

Max Activating Token Index: 575

Text #5

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Data Index: 1173595 (C4 (Web Text))

Max Activating Token Index: 751

Text #6

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Data Index: 949656 (C4 (Web Text))

Max Activating Token Index: 518

Text #7

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Max Activating Token Index: 943

Text #8

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Max Activating Token Index: 547

Text #9

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Data Index: 696984 (C4 (Web Text))

Max Activating Token Index: 455

Text #10

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Data Index: 1334239 (C4 (Web Text))

Max Activating Token Index: 885

Text #11

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Data Index: 578564 (C4 (Web Text))

Max Activating Token Index: 443

Text #12

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Max Activating Token Index: 352

Text #13

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Max Activating Token Index: 634

Text #14

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Max Activating Token Index: 420

Text #15

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Max Activating Token Index: 569

Text #16

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Max Activating Token Index: 268

Text #17

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Max Activating Token Index: 156

Text #18

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Data Index: 1358778 (C4 (Web Text))

Max Activating Token Index: 226

Text #19

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Max Act: 0.0125. Min Act: -0.0004

Data Index: 660236 (C4 (Web Text))

Max Activating Token Index: 324