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

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

Neuron 1575 in Layer 0

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Text #0

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Max Act: 0.0437. Min Act: -0.0003

Data Index: 970338 (C4 (Web Text))

Max Activating Token Index: 661

Text #1

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Max Act: 0.0420. Min Act: -0.0003

Data Index: 1034919 (C4 (Web Text))

Max Activating Token Index: 827

Text #2

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Max Act: 0.0414. Min Act: -0.0003

Data Index: 136544 (C4 (Web Text))

Max Activating Token Index: 66

Text #3

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Max Act: 0.0413. Min Act: -0.0003

Data Index: 315103 (C4 (Web Text))

Max Activating Token Index: 38

Text #4

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Max Activating Token Index: 380

Text #5

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Max Activating Token Index: 843

Text #6

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Max Activating Token Index: 986

Text #7

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Text #8

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Max Activating Token Index: 349

Text #9

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Max Activating Token Index: 571

Text #10

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Data Index: 615388 (C4 (Web Text))

Max Activating Token Index: 878

Text #11

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Max Activating Token Index: 50

Text #12

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Data Index: 1270048 (C4 (Web Text))

Max Activating Token Index: 794

Text #13

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Data Index: 385126 (C4 (Web Text))

Max Activating Token Index: 791

Text #14

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Max Act: 0.0393. Min Act: -0.0003

Data Index: 1420113 (Python Code)

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Text #15

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Data Index: 1414286 (Python Code)

Max Activating Token Index: 883

Text #16

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Max Activating Token Index: 606

Text #17

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Data Index: 1503219 (Python Code)

Max Activating Token Index: 166

Text #18

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Data Index: 1003720 (C4 (Web Text))

Max Activating Token Index: 476

Text #19

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Max Act: 0.0385. Min Act: -0.0003

Data Index: 143934 (C4 (Web Text))

Max Activating Token Index: 666