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

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

Neuron 437 in Layer 0

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Text #0

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Max Act: 0.0306. Min Act: -0.0003

Data Index: 1636737 (Python Code)

Max Activating Token Index: 489

Text #1

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Max Act: 0.0257. Min Act: -0.0003

Data Index: 983588 (C4 (Web Text))

Max Activating Token Index: 437

Text #2

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Max Act: 0.0252. Min Act: -0.0003

Data Index: 1182193 (C4 (Web Text))

Max Activating Token Index: 740

Text #3

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Max Act: 0.0240. Min Act: -0.0003

Data Index: 1548293 (Python Code)

Max Activating Token Index: 50

Text #4

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Max Act: 0.0237. Min Act: -0.0003

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Max Activating Token Index: 757

Text #5

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Max Activating Token Index: 595

Text #6

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Max Activating Token Index: 366

Text #7

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Data Index: 581027 (C4 (Web Text))

Max Activating Token Index: 173

Text #8

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Max Activating Token Index: 939

Text #9

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Max Activating Token Index: 923

Text #10

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Data Index: 227020 (C4 (Web Text))

Max Activating Token Index: 607

Text #11

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Data Index: 1007541 (C4 (Web Text))

Max Activating Token Index: 492

Text #12

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Data Index: 852242 (C4 (Web Text))

Max Activating Token Index: 550

Text #13

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Data Index: 1271240 (C4 (Web Text))

Max Activating Token Index: 310

Text #14

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Text #15

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Text #16

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Text #17

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Data Index: 45273 (C4 (Web Text))

Max Activating Token Index: 353

Text #18

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Data Index: 420574 (C4 (Web Text))

Max Activating Token Index: 387

Text #19

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Data Index: 389614 (C4 (Web Text))

Max Activating Token Index: 704