Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4845 in Layer 1

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Text #0

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Max Act: 0.0783. Min Act: -0.0002

Data Index: 147730 (C4 (Web Text))

Max Activating Token Index: 667

Text #1

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Max Act: 0.0779. Min Act: -0.0002

Data Index: 600528 (C4 (Web Text))

Max Activating Token Index: 250

Text #2

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Max Act: 0.0765. Min Act: -0.0002

Data Index: 1655385 (Python Code)

Max Activating Token Index: 1021

Text #3

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Max Act: 0.0749. Min Act: -0.0002

Data Index: 1422543 (Python Code)

Max Activating Token Index: 690

Text #4

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Max Act: 0.0694. Min Act: -0.0002

Data Index: 1572403 (Python Code)

Max Activating Token Index: 251

Text #5

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Data Index: 1195915 (C4 (Web Text))

Max Activating Token Index: 244

Text #6

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Data Index: 889101 (C4 (Web Text))

Max Activating Token Index: 661

Text #7

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Data Index: 1635648 (Python Code)

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Text #8

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Data Index: 464989 (C4 (Web Text))

Max Activating Token Index: 679

Text #9

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Data Index: 1381141 (Python Code)

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Text #10

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Data Index: 1375679 (Python Code)

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Text #11

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Data Index: 1387065 (Python Code)

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Text #12

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Data Index: 1609237 (Python Code)

Max Activating Token Index: 933

Text #13

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Max Act: 0.0643. Min Act: -0.0002

Data Index: 1391801 (Python Code)

Max Activating Token Index: 4

Text #14

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Data Index: 1542360 (Python Code)

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Text #15

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Data Index: 1505174 (Python Code)

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Text #16

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Data Index: 1516505 (Python Code)

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Text #17

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Data Index: 1628383 (Python Code)

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Text #18

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Data Index: 1371519 (Python Code)

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Text #19

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Max Act: 0.0600. Min Act: -0.0002

Data Index: 1200715 (C4 (Web Text))

Max Activating Token Index: 392