Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1280 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0054. Min Act: -0.0006

Data Index: 530121 (C4 (Web Text))

Max Activating Token Index: 623

Text #1

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Max Act: 0.0054. Min Act: -0.0006

Data Index: 144207 (C4 (Web Text))

Max Activating Token Index: 638

Text #2

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Data Index: 884569 (C4 (Web Text))

Max Activating Token Index: 450

Text #3

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Max Act: 0.0054. Min Act: -0.0006

Data Index: 497005 (C4 (Web Text))

Max Activating Token Index: 89

Text #4

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Max Act: 0.0054. Min Act: -0.0006

Data Index: 546943 (C4 (Web Text))

Max Activating Token Index: 8

Text #5

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Data Index: 651569 (C4 (Web Text))

Max Activating Token Index: 608

Text #6

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Data Index: 533320 (C4 (Web Text))

Max Activating Token Index: 605

Text #7

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Max Activating Token Index: 836

Text #8

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Max Activating Token Index: 1010

Text #9

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Data Index: 963989 (C4 (Web Text))

Max Activating Token Index: 452

Text #10

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Data Index: 393463 (C4 (Web Text))

Max Activating Token Index: 828

Text #11

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Max Activating Token Index: 13

Text #12

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Max Activating Token Index: 589

Text #13

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Data Index: 374590 (C4 (Web Text))

Max Activating Token Index: 140

Text #14

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Max Activating Token Index: 459

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 475

Text #18

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Data Index: 612171 (C4 (Web Text))

Max Activating Token Index: 198

Text #19

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Data Index: 1033442 (C4 (Web Text))

Max Activating Token Index: 85