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

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

Neuron 2008 in Layer 0

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Text #0

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Max Act: 0.0227. Min Act: -0.0002

Data Index: 366963 (C4 (Web Text))

Max Activating Token Index: 993

Text #1

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Max Act: 0.0211. Min Act: -0.0002

Data Index: 513836 (C4 (Web Text))

Max Activating Token Index: 1012

Text #2

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Max Act: 0.0187. Min Act: -0.0003

Data Index: 1077882 (C4 (Web Text))

Max Activating Token Index: 922

Text #3

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Max Act: 0.0178. Min Act: -0.0003

Data Index: 1363547 (Python Code)

Max Activating Token Index: 637

Text #4

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Data Index: 1176216 (C4 (Web Text))

Max Activating Token Index: 287

Text #5

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Max Activating Token Index: 719

Text #6

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Max Activating Token Index: 893

Text #7

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Data Index: 1231465 (C4 (Web Text))

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Text #8

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Data Index: 1579349 (Python Code)

Max Activating Token Index: 217

Text #9

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Max Activating Token Index: 627

Text #10

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Data Index: 1639392 (Python Code)

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Text #11

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Data Index: 221605 (C4 (Web Text))

Max Activating Token Index: 664

Text #12

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Max Activating Token Index: 721

Text #13

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Data Index: 1576824 (Python Code)

Max Activating Token Index: 49

Text #14

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Data Index: 717935 (C4 (Web Text))

Max Activating Token Index: 132

Text #15

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Data Index: 10485 (C4 (Web Text))

Max Activating Token Index: 87

Text #16

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Max Activating Token Index: 150

Text #17

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Max Activating Token Index: 735

Text #18

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Data Index: 383081 (C4 (Web Text))

Max Activating Token Index: 589

Text #19

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Data Index: 415067 (C4 (Web Text))

Max Activating Token Index: 552