Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1491 in Layer 4

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0356. Min Act: -0.0001

Data Index: 243583 (C4 (Web Text))

Max Activating Token Index: 746

Text #1

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Data Index: 212020 (C4 (Web Text))

Max Activating Token Index: 806

Text #2

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Max Act: 0.0325. Min Act: -0.0001

Data Index: 409229 (C4 (Web Text))

Max Activating Token Index: 506

Text #3

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Max Act: 0.0319. Min Act: -0.0000

Data Index: 17892 (C4 (Web Text))

Max Activating Token Index: 225

Text #4

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Data Index: 1387845 (Python Code)

Max Activating Token Index: 255

Text #5

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Data Index: 1617668 (Python Code)

Max Activating Token Index: 86

Text #6

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Data Index: 681894 (C4 (Web Text))

Max Activating Token Index: 625

Text #7

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Max Activating Token Index: 287

Text #8

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Data Index: 1629662 (Python Code)

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Text #9

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Data Index: 294778 (C4 (Web Text))

Max Activating Token Index: 740

Text #10

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Max Activating Token Index: 530

Text #11

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Max Activating Token Index: 869

Text #12

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Data Index: 375662 (C4 (Web Text))

Max Activating Token Index: 469

Text #13

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Data Index: 731039 (C4 (Web Text))

Max Activating Token Index: 880

Text #14

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Data Index: 280537 (C4 (Web Text))

Max Activating Token Index: 479

Text #15

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Max Activating Token Index: 144

Text #16

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Max Activating Token Index: 575

Text #17

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Data Index: 201320 (C4 (Web Text))

Max Activating Token Index: 559

Text #18

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Max Activating Token Index: 312

Text #19

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Data Index: 105170 (C4 (Web Text))

Max Activating Token Index: 364