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

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

Neuron 5947 in Layer 0

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Text #0

Max Range: 0.0532. Min Range: -0.0532

Max Act: 0.0532. Min Act: -0.0001

Data Index: 1489804 (Python Code)

Max Activating Token Index: 107

Text #1

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Max Act: 0.0507. Min Act: -0.0001

Data Index: 306285 (C4 (Web Text))

Max Activating Token Index: 297

Text #2

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Max Act: 0.0499. Min Act: -0.0001

Data Index: 202622 (C4 (Web Text))

Max Activating Token Index: 564

Text #3

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Max Act: 0.0466. Min Act: -0.0001

Data Index: 584070 (C4 (Web Text))

Max Activating Token Index: 131

Text #4

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Data Index: 168852 (C4 (Web Text))

Max Activating Token Index: 916

Text #5

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Data Index: 1593073 (Python Code)

Max Activating Token Index: 944

Text #6

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Data Index: 1497973 (Python Code)

Max Activating Token Index: 151

Text #7

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Data Index: 1601479 (Python Code)

Max Activating Token Index: 521

Text #8

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Max Activating Token Index: 308

Text #9

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Data Index: 72072 (C4 (Web Text))

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Text #10

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Max Activating Token Index: 725

Text #11

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Data Index: 1653916 (Python Code)

Max Activating Token Index: 914

Text #12

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Data Index: 1243675 (C4 (Web Text))

Max Activating Token Index: 452

Text #13

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Max Act: 0.0439. Min Act: -0.0001

Data Index: 1521025 (Python Code)

Max Activating Token Index: 1001

Text #14

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Data Index: 1069619 (C4 (Web Text))

Max Activating Token Index: 878

Text #15

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Text #16

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Text #17

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Data Index: 130756 (C4 (Web Text))

Max Activating Token Index: 198

Text #18

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Data Index: 1374607 (Python Code)

Max Activating Token Index: 422

Text #19

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Data Index: 1451999 (Python Code)

Max Activating Token Index: 258