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

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

Neuron 878 in Layer 0

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Text #0

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Max Act: 0.0174. Min Act: -0.0003

Data Index: 1017457 (C4 (Web Text))

Max Activating Token Index: 378

Text #1

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Max Act: 0.0162. Min Act: -0.0002

Data Index: 125950 (C4 (Web Text))

Max Activating Token Index: 701

Text #2

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Max Act: 0.0155. Min Act: -0.0002

Data Index: 621947 (C4 (Web Text))

Max Activating Token Index: 952

Text #3

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Max Act: 0.0151. Min Act: -0.0002

Data Index: 35674 (C4 (Web Text))

Max Activating Token Index: 896

Text #4

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Max Act: 0.0146. Min Act: -0.0002

Data Index: 1192952 (C4 (Web Text))

Max Activating Token Index: 465

Text #5

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Max Act: 0.0142. Min Act: -0.0003

Data Index: 1419043 (Python Code)

Max Activating Token Index: 324

Text #6

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Data Index: 152789 (C4 (Web Text))

Max Activating Token Index: 342

Text #7

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Data Index: 1418920 (Python Code)

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Text #8

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Data Index: 291847 (C4 (Web Text))

Max Activating Token Index: 289

Text #9

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Data Index: 1555639 (Python Code)

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Text #10

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Max Activating Token Index: 899

Text #11

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Data Index: 1511276 (Python Code)

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Text #12

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Data Index: 835252 (C4 (Web Text))

Max Activating Token Index: 484

Text #13

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Data Index: 889795 (C4 (Web Text))

Max Activating Token Index: 833

Text #14

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Data Index: 193908 (C4 (Web Text))

Max Activating Token Index: 771

Text #15

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Data Index: 639864 (C4 (Web Text))

Max Activating Token Index: 727

Text #16

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Text #17

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Max Activating Token Index: 226

Text #18

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Data Index: 57318 (C4 (Web Text))

Max Activating Token Index: 81

Text #19

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Max Act: 0.0135. Min Act: -0.0002

Data Index: 613071 (C4 (Web Text))

Max Activating Token Index: 343