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

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

Neuron 99 in Layer 1

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

Text #0

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Max Act: 0.0369. Min Act: -0.0002

Data Index: 487786 (C4 (Web Text))

Max Activating Token Index: 993

Text #1

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Max Activating Token Index: 799

Text #2

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Max Act: 0.0325. Min Act: -0.0003

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Max Activating Token Index: 654

Text #3

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Max Act: 0.0311. Min Act: -0.0003

Data Index: 208071 (C4 (Web Text))

Max Activating Token Index: 424

Text #4

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Data Index: 46483 (C4 (Web Text))

Max Activating Token Index: 375

Text #5

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Max Activating Token Index: 318

Text #6

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Max Activating Token Index: 450

Text #7

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Max Activating Token Index: 250

Text #8

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Max Activating Token Index: 244

Text #9

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Max Activating Token Index: 304

Text #10

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Max Activating Token Index: 656

Text #11

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Data Index: 708557 (C4 (Web Text))

Max Activating Token Index: 467

Text #12

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Max Activating Token Index: 852

Text #13

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Max Activating Token Index: 857

Text #14

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Max Activating Token Index: 47

Text #15

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Text #16

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Max Activating Token Index: 84

Text #17

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Text #18

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Max Activating Token Index: 63

Text #19

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Data Index: 760593 (C4 (Web Text))

Max Activating Token Index: 66