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

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

Neuron 1288 in Layer 0

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

Text #0

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Max Act: 0.0309. Min Act: -0.0004

Data Index: 1280362 (C4 (Web Text))

Max Activating Token Index: 755

Text #1

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Data Index: 672596 (C4 (Web Text))

Max Activating Token Index: 940

Text #2

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Data Index: 873537 (C4 (Web Text))

Max Activating Token Index: 575

Text #3

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Data Index: 373945 (C4 (Web Text))

Max Activating Token Index: 705

Text #4

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Data Index: 339306 (C4 (Web Text))

Max Activating Token Index: 734

Text #5

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Data Index: 366775 (C4 (Web Text))

Max Activating Token Index: 903

Text #6

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Data Index: 449120 (C4 (Web Text))

Max Activating Token Index: 828

Text #7

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Data Index: 538683 (C4 (Web Text))

Max Activating Token Index: 831

Text #8

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Max Activating Token Index: 591

Text #9

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Max Activating Token Index: 654

Text #10

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Max Activating Token Index: 887

Text #11

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Data Index: 230398 (C4 (Web Text))

Max Activating Token Index: 862

Text #12

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Data Index: 319693 (C4 (Web Text))

Max Activating Token Index: 656

Text #13

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Data Index: 466546 (C4 (Web Text))

Max Activating Token Index: 864

Text #14

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Data Index: 586815 (C4 (Web Text))

Max Activating Token Index: 616

Text #15

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Max Activating Token Index: 600

Text #16

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Max Activating Token Index: 469

Text #17

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Max Activating Token Index: 273

Text #18

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Data Index: 32515 (C4 (Web Text))

Max Activating Token Index: 895

Text #19

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Data Index: 460288 (C4 (Web Text))

Max Activating Token Index: 362