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

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

Neuron 1995 in Layer 0

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Text #0

Max Range: 0.0384. Min Range: -0.0384

Max Act: 0.0384. Min Act: -0.0003

Data Index: 222784 (C4 (Web Text))

Max Activating Token Index: 573

Text #1

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Max Act: 0.0369. Min Act: -0.0003

Data Index: 359335 (C4 (Web Text))

Max Activating Token Index: 595

Text #2

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Max Act: 0.0369. Min Act: -0.0003

Data Index: 1300895 (C4 (Web Text))

Max Activating Token Index: 579

Text #3

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Max Act: 0.0358. Min Act: -0.0003

Data Index: 966027 (C4 (Web Text))

Max Activating Token Index: 333

Text #4

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Max Act: 0.0347. Min Act: -0.0003

Data Index: 389103 (C4 (Web Text))

Max Activating Token Index: 957

Text #5

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Max Act: 0.0349. Min Act: -0.0002

Data Index: 744732 (C4 (Web Text))

Max Activating Token Index: 204

Text #6

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Data Index: 494545 (C4 (Web Text))

Max Activating Token Index: 99

Text #7

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Data Index: 409540 (C4 (Web Text))

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Text #8

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Data Index: 1159801 (C4 (Web Text))

Max Activating Token Index: 630

Text #9

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Max Activating Token Index: 954

Text #10

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Data Index: 1246769 (C4 (Web Text))

Max Activating Token Index: 737

Text #11

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Max Act: 0.0316. Min Act: -0.0002

Data Index: 621969 (C4 (Web Text))

Max Activating Token Index: 464

Text #12

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Data Index: 1647963 (Python Code)

Max Activating Token Index: 625

Text #13

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Data Index: 5236 (C4 (Web Text))

Max Activating Token Index: 232

Text #14

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Max Activating Token Index: 146

Text #15

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Max Activating Token Index: 843

Text #16

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Max Activating Token Index: 103

Text #17

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Data Index: 1425983 (Python Code)

Max Activating Token Index: 794

Text #18

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Data Index: 362942 (C4 (Web Text))

Max Activating Token Index: 294

Text #19

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Max Act: 0.0302. Min Act: -0.0003

Data Index: 903868 (C4 (Web Text))

Max Activating Token Index: 982