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

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

Neuron 888 in Layer 2

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

Text #0

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Max Act: 0.0570. Min Act: -0.0002

Data Index: 685438 (C4 (Web Text))

Max Activating Token Index: 647

Text #1

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Max Act: 0.0570. Min Act: -0.0002

Data Index: 305419 (C4 (Web Text))

Max Activating Token Index: 717

Text #2

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Max Act: 0.0558. Min Act: -0.0002

Data Index: 1305592 (C4 (Web Text))

Max Activating Token Index: 960

Text #3

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Max Act: 0.0544. Min Act: -0.0003

Data Index: 207994 (C4 (Web Text))

Max Activating Token Index: 716

Text #4

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Max Act: 0.0517. Min Act: -0.0003

Data Index: 1014319 (C4 (Web Text))

Max Activating Token Index: 753

Text #5

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Max Act: 0.0541. Min Act: -0.0002

Data Index: 1346628 (C4 (Web Text))

Max Activating Token Index: 104

Text #6

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Data Index: 149573 (C4 (Web Text))

Max Activating Token Index: 931

Text #7

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Data Index: 737471 (C4 (Web Text))

Max Activating Token Index: 612

Text #8

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Data Index: 652528 (C4 (Web Text))

Max Activating Token Index: 37

Text #9

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Max Activating Token Index: 939

Text #10

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Data Index: 417247 (C4 (Web Text))

Max Activating Token Index: 336

Text #11

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Max Activating Token Index: 780

Text #12

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Max Activating Token Index: 965

Text #13

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Data Index: 24503 (C4 (Web Text))

Max Activating Token Index: 731

Text #14

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Data Index: 624103 (C4 (Web Text))

Max Activating Token Index: 686

Text #15

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Max Activating Token Index: 478

Text #16

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Max Activating Token Index: 810

Text #17

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Data Index: 6909 (C4 (Web Text))

Max Activating Token Index: 1020

Text #18

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Data Index: 139431 (C4 (Web Text))

Max Activating Token Index: 361

Text #19

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Max Act: 0.0467. Min Act: -0.0002

Data Index: 1054428 (C4 (Web Text))

Max Activating Token Index: 147