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

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

Neuron 439 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.2027. Min Act: -0.0003

Data Index: 463682 (C4 (Web Text))

Max Activating Token Index: 462

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Text #1

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Max Act: 0.1925. Min Act: -0.0002

Data Index: 1007012 (C4 (Web Text))

Max Activating Token Index: 537

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Text #2

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Max Act: 0.1924. Min Act: -0.0003

Data Index: 591668 (C4 (Web Text))

Max Activating Token Index: 222

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Text #3

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Max Act: 0.1940. Min Act: -0.0003

Data Index: 306512 (C4 (Web Text))

Max Activating Token Index: 176

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Truncated

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Text #4

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Max Act: 0.1880. Min Act: -0.0003

Data Index: 885606 (C4 (Web Text))

Max Activating Token Index: 179

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Text #5

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Max Act: 0.1858. Min Act: -0.0003

Data Index: 300015 (C4 (Web Text))

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Text #6

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Data Index: 826559 (C4 (Web Text))

Max Activating Token Index: 935

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Text #7

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Data Index: 322171 (C4 (Web Text))

Max Activating Token Index: 606

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Text #8

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Max Act: 0.1873. Min Act: -0.0003

Data Index: 83283 (C4 (Web Text))

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Text #9

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Max Act: 0.1780. Min Act: -0.0003

Data Index: 1033759 (C4 (Web Text))

Max Activating Token Index: 267

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Text #10

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Data Index: 1255248 (C4 (Web Text))

Max Activating Token Index: 56

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Text #11

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Data Index: 274727 (C4 (Web Text))

Max Activating Token Index: 934

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Text #12

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Data Index: 212372 (C4 (Web Text))

Max Activating Token Index: 549

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Text #13

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Data Index: 907826 (C4 (Web Text))

Max Activating Token Index: 681

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Text #14

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Max Act: 0.1707. Min Act: -0.0003

Data Index: 129018 (C4 (Web Text))

Max Activating Token Index: 840

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Text #15

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Max Act: 0.1804. Min Act: -0.0003

Data Index: 84260 (C4 (Web Text))

Max Activating Token Index: 168

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Text #16

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Data Index: 318679 (C4 (Web Text))

Max Activating Token Index: 61

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Text #17

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Data Index: 1174130 (C4 (Web Text))

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Text #18

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Data Index: 1471790 (Python Code)

Max Activating Token Index: 435

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Text #19

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Data Index: 259622 (C4 (Web Text))

Max Activating Token Index: 451

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