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

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

Neuron 1644 in Layer 0

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Text #0

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Max Act: 0.0176. Min Act: -0.0002

Data Index: 646832 (C4 (Web Text))

Max Activating Token Index: 813

Text #1

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Max Act: 0.0178. Min Act: -0.0002

Data Index: 320075 (C4 (Web Text))

Max Activating Token Index: 424

Text #2

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Max Act: 0.0176. Min Act: -0.0002

Data Index: 146458 (C4 (Web Text))

Max Activating Token Index: 597

Text #3

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Max Act: 0.0171. Min Act: -0.0003

Data Index: 470659 (C4 (Web Text))

Max Activating Token Index: 395

Text #4

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Max Act: 0.0165. Min Act: -0.0002

Data Index: 534603 (C4 (Web Text))

Max Activating Token Index: 399

Text #5

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Data Index: 1561297 (Python Code)

Max Activating Token Index: 878

Text #6

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Data Index: 1536788 (Python Code)

Max Activating Token Index: 1004

Text #7

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Data Index: 476901 (C4 (Web Text))

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Text #8

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Data Index: 1530886 (Python Code)

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Text #9

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Data Index: 1609594 (Python Code)

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Text #10

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Data Index: 1616395 (Python Code)

Max Activating Token Index: 118

Text #11

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Data Index: 1489406 (Python Code)

Max Activating Token Index: 1023

Text #12

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Data Index: 17957 (C4 (Web Text))

Max Activating Token Index: 429

Text #13

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Data Index: 419103 (C4 (Web Text))

Max Activating Token Index: 688

Text #14

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Data Index: 1416591 (Python Code)

Max Activating Token Index: 1023

Text #15

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Data Index: 997716 (C4 (Web Text))

Max Activating Token Index: 557

Text #16

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Text #17

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Data Index: 1135931 (C4 (Web Text))

Max Activating Token Index: 44

Text #18

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Data Index: 1489716 (Python Code)

Max Activating Token Index: 421

Text #19

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Max Act: 0.0145. Min Act: -0.0002

Data Index: 1131350 (C4 (Web Text))

Max Activating Token Index: 512