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

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

Neuron 1009 in Layer 1

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Text #0

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Max Act: 0.0577. Min Act: -0.0002

Data Index: 605398 (C4 (Web Text))

Max Activating Token Index: 148

Text #1

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Max Act: 0.0538. Min Act: -0.0002

Data Index: 1469417 (Python Code)

Max Activating Token Index: 269

Text #2

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Max Act: 0.0506. Min Act: -0.0002

Data Index: 1587273 (Python Code)

Max Activating Token Index: 842

Text #3

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Max Act: 0.0499. Min Act: -0.0002

Data Index: 1539168 (Python Code)

Max Activating Token Index: 884

Text #4

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Max Act: 0.0503. Min Act: -0.0002

Data Index: 1411863 (Python Code)

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Text #5

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Data Index: 1437571 (Python Code)

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Text #6

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Data Index: 1642664 (Python Code)

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Text #7

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Text #8

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Data Index: 1392246 (Python Code)

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Text #9

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Data Index: 1301888 (C4 (Web Text))

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Text #10

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Data Index: 1545520 (Python Code)

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Text #11

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Data Index: 1641272 (Python Code)

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Text #12

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Data Index: 531274 (C4 (Web Text))

Max Activating Token Index: 455

Text #13

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Data Index: 1294978 (C4 (Web Text))

Max Activating Token Index: 32

Text #14

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Data Index: 1528321 (Python Code)

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Text #15

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Data Index: 1506586 (Python Code)

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Text #16

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Text #17

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Data Index: 1630529 (Python Code)

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Text #18

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Data Index: 1461936 (Python Code)

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Text #19

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Max Act: 0.0459. Min Act: -0.0002

Data Index: 1464465 (Python Code)

Max Activating Token Index: 636