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

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

Neuron 1979 in Layer 0

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Text #0

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Max Act: 0.0228. Min Act: -0.0003

Data Index: 599332 (C4 (Web Text))

Max Activating Token Index: 736

Text #1

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Max Act: 0.0223. Min Act: -0.0003

Data Index: 398413 (C4 (Web Text))

Max Activating Token Index: 977

Text #2

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Max Act: 0.0214. Min Act: -0.0003

Data Index: 1350656 (C4 (Web Text))

Max Activating Token Index: 853

Text #3

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Max Act: 0.0212. Min Act: -0.0003

Data Index: 789020 (C4 (Web Text))

Max Activating Token Index: 428

Text #4

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Data Index: 1299399 (C4 (Web Text))

Max Activating Token Index: 633

Text #5

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Max Activating Token Index: 314

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 783

Text #9

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Data Index: 1532767 (Python Code)

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Text #10

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Text #11

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Max Activating Token Index: 136

Text #12

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Data Index: 1491295 (Python Code)

Max Activating Token Index: 708

Text #13

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Data Index: 1368490 (Python Code)

Max Activating Token Index: 313

Text #14

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Data Index: 651464 (C4 (Web Text))

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Text #15

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Max Activating Token Index: 859

Text #16

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Data Index: 1414730 (Python Code)

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Text #17

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Data Index: 1488644 (Python Code)

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Text #18

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Data Index: 1299948 (C4 (Web Text))

Max Activating Token Index: 301

Text #19

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Max Act: 0.0193. Min Act: -0.0003

Data Index: 386197 (C4 (Web Text))

Max Activating Token Index: 931