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

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

Neuron 1863 in Layer 1

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

Text #0

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Max Act: 0.0585. Min Act: -0.0003

Data Index: 503169 (C4 (Web Text))

Max Activating Token Index: 104

Text #1

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Max Act: 0.0466. Min Act: -0.0003

Data Index: 306855 (C4 (Web Text))

Max Activating Token Index: 329

Text #2

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Max Act: 0.0451. Min Act: -0.0003

Data Index: 70325 (C4 (Web Text))

Max Activating Token Index: 311

Text #3

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Max Act: 0.0402. Min Act: -0.0002

Data Index: 812166 (C4 (Web Text))

Max Activating Token Index: 546

Text #4

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Data Index: 1177453 (C4 (Web Text))

Max Activating Token Index: 662

Text #5

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Max Act: 0.0404. Min Act: -0.0003

Data Index: 909922 (C4 (Web Text))

Max Activating Token Index: 522

Text #6

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Max Activating Token Index: 745

Text #7

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Max Activating Token Index: 735

Text #8

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Data Index: 327025 (C4 (Web Text))

Max Activating Token Index: 736

Text #9

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Max Activating Token Index: 743

Text #10

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Data Index: 19052 (C4 (Web Text))

Max Activating Token Index: 832

Text #11

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Data Index: 227118 (C4 (Web Text))

Max Activating Token Index: 618

Text #12

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Max Activating Token Index: 78

Text #13

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Data Index: 964048 (C4 (Web Text))

Max Activating Token Index: 30

Text #14

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Max Activating Token Index: 10

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 292

Text #18

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Max Activating Token Index: 188

Text #19

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Max Act: 0.0334. Min Act: -0.0003

Data Index: 339879 (C4 (Web Text))

Max Activating Token Index: 448