Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 990 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0412. Min Act: -0.0004

Data Index: 1149559 (C4 (Web Text))

Max Activating Token Index: 756

Text #1

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Data Index: 901691 (C4 (Web Text))

Max Activating Token Index: 398

Text #2

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Max Act: 0.0395. Min Act: -0.0003

Data Index: 122977 (C4 (Web Text))

Max Activating Token Index: 768

Text #3

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 831889 (C4 (Web Text))

Max Activating Token Index: 612

Text #4

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 1190699 (C4 (Web Text))

Max Activating Token Index: 614

Text #5

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Data Index: 1239496 (C4 (Web Text))

Max Activating Token Index: 234

Text #6

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Max Activating Token Index: 332

Text #7

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Max Activating Token Index: 110

Text #8

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Max Activating Token Index: 20

Text #9

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Max Activating Token Index: 79

Text #10

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Max Activating Token Index: 92

Text #11

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Max Activating Token Index: 461

Text #12

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Max Activating Token Index: 451

Text #13

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Max Activating Token Index: 675

Text #14

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Data Index: 236231 (C4 (Web Text))

Max Activating Token Index: 152

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 255

Text #18

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Max Activating Token Index: 533

Text #19

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Data Index: 480616 (C4 (Web Text))

Max Activating Token Index: 810