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

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

Neuron 986 in Layer 1

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

Text #0

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Max Act: 0.1285. Min Act: -0.0003

Data Index: 343570 (C4 (Web Text))

Max Activating Token Index: 542

Text #1

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Data Index: 428878 (C4 (Web Text))

Max Activating Token Index: 509

Text #2

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Max Act: 0.1174. Min Act: -0.0003

Data Index: 895416 (C4 (Web Text))

Max Activating Token Index: 208

Text #3

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Max Act: 0.1089. Min Act: -0.0003

Data Index: 421648 (C4 (Web Text))

Max Activating Token Index: 869

Text #4

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Max Act: 0.1111. Min Act: -0.0003

Data Index: 792077 (C4 (Web Text))

Max Activating Token Index: 354

Text #5

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Max Activating Token Index: 826

Text #6

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Max Activating Token Index: 494

Text #7

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Max Activating Token Index: 704

Text #8

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Data Index: 594776 (C4 (Web Text))

Max Activating Token Index: 408

Text #9

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Max Activating Token Index: 288

Text #10

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Max Activating Token Index: 602

Text #11

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Data Index: 453354 (C4 (Web Text))

Max Activating Token Index: 306

Text #12

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Max Activating Token Index: 779

Text #13

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Max Activating Token Index: 80

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 368

Text #18

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Max Activating Token Index: 308

Text #19

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Data Index: 827856 (C4 (Web Text))

Max Activating Token Index: 475