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

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

Neuron 798 in Layer 0

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

Text #0

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Max Act: 0.0273. Min Act: -0.0004

Data Index: 987765 (C4 (Web Text))

Max Activating Token Index: 828

Text #1

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Data Index: 1240713 (C4 (Web Text))

Max Activating Token Index: 60

Text #2

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Max Act: 0.0262. Min Act: -0.0004

Data Index: 1012432 (C4 (Web Text))

Max Activating Token Index: 566

Text #3

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Max Act: 0.0249. Min Act: -0.0004

Data Index: 483512 (C4 (Web Text))

Max Activating Token Index: 948

Text #4

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Data Index: 832125 (C4 (Web Text))

Max Activating Token Index: 591

Text #5

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Data Index: 738618 (C4 (Web Text))

Max Activating Token Index: 30

Text #6

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Data Index: 75287 (C4 (Web Text))

Max Activating Token Index: 897

Text #7

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Max Activating Token Index: 12

Text #8

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Max Activating Token Index: 496

Text #9

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Data Index: 933153 (C4 (Web Text))

Max Activating Token Index: 486

Text #10

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Data Index: 718885 (C4 (Web Text))

Max Activating Token Index: 951

Text #11

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Max Activating Token Index: 195

Text #12

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Data Index: 971727 (C4 (Web Text))

Max Activating Token Index: 630

Text #13

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Data Index: 1287616 (C4 (Web Text))

Max Activating Token Index: 408

Text #14

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Data Index: 938921 (C4 (Web Text))

Max Activating Token Index: 1006

Text #15

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Max Activating Token Index: 442

Text #16

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Max Activating Token Index: 385

Text #17

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Max Activating Token Index: 590

Text #18

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Data Index: 33688 (C4 (Web Text))

Max Activating Token Index: 47

Text #19

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Data Index: 1298632 (C4 (Web Text))

Max Activating Token Index: 193