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

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

Neuron 1258 in Layer 0

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

Text #0

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Max Act: 0.0160. Min Act: -0.0006

Data Index: 482420 (C4 (Web Text))

Max Activating Token Index: 788

Text #1

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Max Activating Token Index: 635

Text #2

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Max Activating Token Index: 1022

Text #3

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Max Act: 0.0146. Min Act: -0.0005

Data Index: 392579 (C4 (Web Text))

Max Activating Token Index: 559

Text #4

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Data Index: 891630 (C4 (Web Text))

Max Activating Token Index: 442

Text #5

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Max Activating Token Index: 533

Text #6

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Data Index: 992714 (C4 (Web Text))

Max Activating Token Index: 497

Text #7

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Max Activating Token Index: 575

Text #8

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Max Activating Token Index: 676

Text #9

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Max Activating Token Index: 588

Text #10

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Data Index: 308407 (C4 (Web Text))

Max Activating Token Index: 481

Text #11

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Max Activating Token Index: 250

Text #12

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Max Activating Token Index: 867

Text #13

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Max Activating Token Index: 658

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 589

Text #19

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Data Index: 737784 (C4 (Web Text))

Max Activating Token Index: 714