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

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

Neuron 91 in Layer 0

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Text #0

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Max Act: 0.0167. Min Act: -0.0002

Data Index: 840716 (C4 (Web Text))

Max Activating Token Index: 724

Text #1

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 223060 (C4 (Web Text))

Max Activating Token Index: 614

Text #2

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Max Act: 0.0140. Min Act: -0.0001

Data Index: 1484166 (Python Code)

Max Activating Token Index: 507

Text #3

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Max Act: 0.0134. Min Act: -0.0003

Data Index: 815734 (C4 (Web Text))

Max Activating Token Index: 693

Text #4

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Data Index: 1469054 (Python Code)

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Text #5

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Data Index: 1271914 (C4 (Web Text))

Max Activating Token Index: 805

Text #6

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Data Index: 666309 (C4 (Web Text))

Max Activating Token Index: 93

Text #7

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Data Index: 1646634 (Python Code)

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Text #8

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Data Index: 1571590 (Python Code)

Max Activating Token Index: 417

Text #9

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Data Index: 1500286 (Python Code)

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Text #10

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Data Index: 1580785 (Python Code)

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Text #11

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Data Index: 1331007 (C4 (Web Text))

Max Activating Token Index: 187

Text #12

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Data Index: 1396237 (Python Code)

Max Activating Token Index: 950

Text #13

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Data Index: 147739 (C4 (Web Text))

Max Activating Token Index: 28

Text #14

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Data Index: 1578729 (Python Code)

Max Activating Token Index: 721

Text #15

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Data Index: 1040179 (C4 (Web Text))

Max Activating Token Index: 762

Text #16

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Data Index: 1584113 (Python Code)

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Text #17

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Data Index: 1639502 (Python Code)

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Text #18

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Data Index: 1621043 (Python Code)

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Text #19

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Max Act: 0.0123. Min Act: -0.0002

Data Index: 1283715 (C4 (Web Text))

Max Activating Token Index: 487