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

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

Neuron 940 in Layer 0

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Text #0

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Max Act: 0.0280. Min Act: -0.0003

Data Index: 653117 (C4 (Web Text))

Max Activating Token Index: 891

Text #1

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Max Act: 0.0271. Min Act: -0.0003

Data Index: 426409 (C4 (Web Text))

Max Activating Token Index: 456

Text #2

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Max Act: 0.0267. Min Act: -0.0003

Data Index: 1120991 (C4 (Web Text))

Max Activating Token Index: 899

Text #3

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Max Act: 0.0261. Min Act: -0.0003

Data Index: 1235023 (C4 (Web Text))

Max Activating Token Index: 900

Text #4

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Max Act: 0.0259. Min Act: -0.0003

Data Index: 226888 (C4 (Web Text))

Max Activating Token Index: 532

Text #5

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Max Act: 0.0255. Min Act: -0.0003

Data Index: 1623135 (Python Code)

Max Activating Token Index: 547

Text #6

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Data Index: 697791 (C4 (Web Text))

Max Activating Token Index: 807

Text #7

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Text #8

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Data Index: 1415578 (Python Code)

Max Activating Token Index: 169

Text #9

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Max Activating Token Index: 572

Text #10

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Data Index: 1409469 (Python Code)

Max Activating Token Index: 826

Text #11

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Data Index: 1237247 (C4 (Web Text))

Max Activating Token Index: 160

Text #12

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Data Index: 1406368 (Python Code)

Max Activating Token Index: 219

Text #13

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Data Index: 566799 (C4 (Web Text))

Max Activating Token Index: 134

Text #14

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Data Index: 1357753 (C4 (Web Text))

Max Activating Token Index: 459

Text #15

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Data Index: 1560255 (Python Code)

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Text #16

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Data Index: 80081 (C4 (Web Text))

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Text #17

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Max Activating Token Index: 929

Text #18

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Data Index: 1194259 (C4 (Web Text))

Max Activating Token Index: 535

Text #19

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Max Act: 0.0235. Min Act: -0.0003

Data Index: 681393 (C4 (Web Text))

Max Activating Token Index: 177