Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 123 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0442. Min Act: -0.0006

Data Index: 1150840 (C4 (Web Text))

Max Activating Token Index: 448

Text #1

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Max Act: 0.0450. Min Act: -0.0006

Data Index: 118730 (C4 (Web Text))

Max Activating Token Index: 735

Text #2

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Max Act: 0.0422. Min Act: -0.0006

Data Index: 839947 (C4 (Web Text))

Max Activating Token Index: 723

Text #3

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Max Act: 0.0430. Min Act: -0.0006

Data Index: 576072 (C4 (Web Text))

Max Activating Token Index: 197

Text #4

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Data Index: 1275379 (C4 (Web Text))

Max Activating Token Index: 629

Text #5

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Data Index: 194623 (C4 (Web Text))

Max Activating Token Index: 75

Text #6

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Data Index: 848288 (C4 (Web Text))

Max Activating Token Index: 594

Text #7

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Data Index: 21444 (C4 (Web Text))

Max Activating Token Index: 685

Text #8

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Data Index: 3539 (C4 (Web Text))

Max Activating Token Index: 821

Text #9

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Data Index: 1100707 (C4 (Web Text))

Max Activating Token Index: 606

Text #10

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Max Activating Token Index: 130

Text #11

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Max Activating Token Index: 599

Text #12

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Max Activating Token Index: 783

Text #13

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Data Index: 622598 (C4 (Web Text))

Max Activating Token Index: 223

Text #14

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Data Index: 868865 (C4 (Web Text))

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Text #15

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Text #16

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Max Activating Token Index: 189

Text #17

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Max Activating Token Index: 259

Text #18

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Data Index: 399141 (C4 (Web Text))

Max Activating Token Index: 612

Text #19

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Data Index: 380516 (C4 (Web Text))

Max Activating Token Index: 803