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

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

Neuron 1631 in Layer 0

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Text #0

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Max Act: 0.0743. Min Act: -0.0003

Data Index: 1263318 (C4 (Web Text))

Max Activating Token Index: 360

Text #1

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Max Act: 0.0719. Min Act: -0.0003

Data Index: 1639112 (Python Code)

Max Activating Token Index: 456

Text #2

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Max Act: 0.0689. Min Act: -0.0002

Data Index: 1257402 (C4 (Web Text))

Max Activating Token Index: 155

Text #3

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Max Act: 0.0686. Min Act: -0.0003

Data Index: 1460311 (Python Code)

Max Activating Token Index: 779

Text #4

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Max Act: 0.0639. Min Act: -0.0003

Data Index: 644583 (C4 (Web Text))

Max Activating Token Index: 110

Text #5

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Max Act: 0.0634. Min Act: -0.0003

Data Index: 12280 (C4 (Web Text))

Max Activating Token Index: 650

Text #6

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Data Index: 1576210 (Python Code)

Max Activating Token Index: 543

Text #7

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Text #8

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Text #9

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Data Index: 1249548 (C4 (Web Text))

Max Activating Token Index: 632

Text #10

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Data Index: 1452982 (Python Code)

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Text #11

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Data Index: 1075497 (C4 (Web Text))

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Text #12

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Data Index: 1651313 (Python Code)

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Text #13

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Data Index: 856472 (C4 (Web Text))

Max Activating Token Index: 468

Text #14

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Data Index: 941423 (C4 (Web Text))

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Text #15

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Data Index: 1470473 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1429777 (Python Code)

Max Activating Token Index: 932

Text #19

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Max Act: 0.0579. Min Act: -0.0003

Data Index: 1568530 (Python Code)

Max Activating Token Index: 235