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

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

Neuron 4510 in Layer 9

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



Text #0

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Max Act: 1.0852. Min Act: -0.0000

Data Index: 858382 (C4 (Web Text))

Max Activating Token Index: 723

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Text #1

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Max Act: 0.9746. Min Act: -0.0000

Data Index: 671109 (C4 (Web Text))

Max Activating Token Index: 803

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Text #2

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Max Act: 0.9339. Min Act: -0.0000

Data Index: 686300 (C4 (Web Text))

Max Activating Token Index: 438

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Text #3

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Max Act: 0.8263. Min Act: -0.0000

Data Index: 951322 (C4 (Web Text))

Max Activating Token Index: 88

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Text #4

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Max Act: 0.6870. Min Act: -0.0000

Data Index: 1589504 (Python Code)

Max Activating Token Index: 263

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Text #5

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Data Index: 167912 (C4 (Web Text))

Max Activating Token Index: 255

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Text #6

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Data Index: 989403 (C4 (Web Text))

Max Activating Token Index: 100

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Text #7

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Data Index: 906933 (C4 (Web Text))

Max Activating Token Index: 519

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Text #8

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Data Index: 1465831 (Python Code)

Max Activating Token Index: 256

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Text #9

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Data Index: 419818 (C4 (Web Text))

Max Activating Token Index: 680

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Text #10

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Data Index: 63170 (C4 (Web Text))

Max Activating Token Index: 898

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Text #11

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Data Index: 525504 (C4 (Web Text))

Max Activating Token Index: 858

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Text #12

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Data Index: 783728 (C4 (Web Text))

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Text #13

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Text #14

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Data Index: 480591 (C4 (Web Text))

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Text #15

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Data Index: 998432 (C4 (Web Text))

Max Activating Token Index: 365

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Text #16

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Data Index: 515870 (C4 (Web Text))

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Text #17

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Max Act: 0.4147. Min Act: -0.0000

Data Index: 827410 (C4 (Web Text))

Max Activating Token Index: 730

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Text #18

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Max Act: 0.4706. Min Act: -0.0000

Data Index: 84678 (C4 (Web Text))

Max Activating Token Index: 643

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Text #19

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Data Index: 1033366 (C4 (Web Text))

Max Activating Token Index: 206

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