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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 249 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

Max Range: 0.0748. Min Range: -0.0748

Max Act: 0.0748. Min Act: -0.0003

Data Index: 895096 (C4 (Web Text))

Max Activating Token Index: 440

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Text #1

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Max Act: 0.0737. Min Act: -0.0003

Data Index: 380793 (C4 (Web Text))

Max Activating Token Index: 914

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Text #2

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Max Act: 0.0680. Min Act: -0.0001

Data Index: 917704 (C4 (Web Text))

Max Activating Token Index: 740

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Text #3

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Max Act: 0.0678. Min Act: -0.0003

Data Index: 1423486 (Python Code)

Max Activating Token Index: 801

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Text #4

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Max Act: 0.0651. Min Act: -0.0003

Data Index: 1596306 (Python Code)

Max Activating Token Index: 485

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Text #5

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Max Act: 0.0630. Min Act: -0.0003

Data Index: 1464879 (Python Code)

Max Activating Token Index: 894

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Text #6

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Max Act: 0.0642. Min Act: -0.0003

Data Index: 1621222 (Python Code)

Max Activating Token Index: 992

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Text #7

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Max Act: 0.0634. Min Act: -0.0003

Data Index: 505833 (C4 (Web Text))

Max Activating Token Index: 642

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Text #8

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Max Act: 0.0648. Min Act: -0.0003

Data Index: 900356 (C4 (Web Text))

Max Activating Token Index: 242

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Text #9

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Max Act: 0.0626. Min Act: -0.0003

Data Index: 1417760 (Python Code)

Max Activating Token Index: 466

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Text #10

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Data Index: 1458160 (Python Code)

Max Activating Token Index: 970

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Text #11

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Max Act: 0.0636. Min Act: -0.0003

Data Index: 417861 (C4 (Web Text))

Max Activating Token Index: 623

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Text #12

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Data Index: 1475999 (Python Code)

Max Activating Token Index: 494

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Text #13

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Max Act: 0.0633. Min Act: -0.0003

Data Index: 341987 (C4 (Web Text))

Max Activating Token Index: 279

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Text #14

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Max Act: 0.0630. Min Act: -0.0003

Data Index: 1190402 (C4 (Web Text))

Max Activating Token Index: 455

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Text #15

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Max Act: 0.0637. Min Act: -0.0003

Data Index: 138773 (C4 (Web Text))

Max Activating Token Index: 772

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Text #16

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Max Act: 0.0630. Min Act: -0.0003

Data Index: 754559 (C4 (Web Text))

Max Activating Token Index: 510

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Text #17

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Max Act: 0.0623. Min Act: -0.0003

Data Index: 1617488 (Python Code)

Max Activating Token Index: 329

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Text #18

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Max Act: 0.0587. Min Act: -0.0003

Data Index: 1655561 (Python Code)

Max Activating Token Index: 272

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Text #19

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Max Act: 0.0612. Min Act: -0.0002

Data Index: 282931 (C4 (Web Text))

Max Activating Token Index: 652

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