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

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

Neuron 1465 in Layer 0

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

Text #0

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Max Act: 0.0287. Min Act: -0.0006

Data Index: 367138 (C4 (Web Text))

Max Activating Token Index: 396

Text #1

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Data Index: 139933 (C4 (Web Text))

Max Activating Token Index: 907

Text #2

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Max Act: 0.0255. Min Act: -0.0006

Data Index: 1101796 (C4 (Web Text))

Max Activating Token Index: 486

Text #3

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Max Act: 0.0254. Min Act: -0.0006

Data Index: 37504 (C4 (Web Text))

Max Activating Token Index: 597

Text #4

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Data Index: 460590 (C4 (Web Text))

Max Activating Token Index: 870

Text #5

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Max Act: 0.0249. Min Act: -0.0006

Data Index: 501841 (C4 (Web Text))

Max Activating Token Index: 22

Text #6

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Max Activating Token Index: 883

Text #7

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Max Activating Token Index: 375

Text #8

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Max Activating Token Index: 529

Text #9

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Max Activating Token Index: 912

Text #10

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Data Index: 357063 (C4 (Web Text))

Max Activating Token Index: 401

Text #11

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Data Index: 17204 (C4 (Web Text))

Max Activating Token Index: 555

Text #12

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Max Activating Token Index: 556

Text #13

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Data Index: 1338751 (C4 (Web Text))

Max Activating Token Index: 479

Text #14

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Max Activating Token Index: 805

Text #15

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Max Activating Token Index: 358

Text #16

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Text #17

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Max Activating Token Index: 375

Text #18

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Max Activating Token Index: 523

Text #19

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Data Index: 75901 (C4 (Web Text))

Max Activating Token Index: 934