Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1557 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0463. Min Act: -0.0003

Data Index: 1029461 (C4 (Web Text))

Max Activating Token Index: 525

Text #1

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Max Act: 0.0441. Min Act: -0.0003

Data Index: 375322 (C4 (Web Text))

Max Activating Token Index: 718

Text #2

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Max Act: 0.0413. Min Act: -0.0003

Data Index: 161607 (C4 (Web Text))

Max Activating Token Index: 492

Text #3

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Max Act: 0.0404. Min Act: -0.0003

Data Index: 352045 (C4 (Web Text))

Max Activating Token Index: 69

Text #4

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Max Act: 0.0394. Min Act: -0.0003

Data Index: 453281 (C4 (Web Text))

Max Activating Token Index: 663

Text #5

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Max Act: 0.0407. Min Act: -0.0003

Data Index: 436008 (C4 (Web Text))

Max Activating Token Index: 884

Text #6

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Max Activating Token Index: 772

Text #7

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Max Activating Token Index: 450

Text #8

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Max Activating Token Index: 896

Text #9

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Data Index: 1232031 (C4 (Web Text))

Max Activating Token Index: 259

Text #10

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Data Index: 271140 (C4 (Web Text))

Max Activating Token Index: 693

Text #11

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Data Index: 672932 (C4 (Web Text))

Max Activating Token Index: 457

Text #12

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Max Activating Token Index: 881

Text #13

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Data Index: 40277 (C4 (Web Text))

Max Activating Token Index: 583

Text #14

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Max Activating Token Index: 561

Text #15

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Text #16

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Max Activating Token Index: 679

Text #17

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Max Activating Token Index: 708

Text #18

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Max Activating Token Index: 35

Text #19

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Data Index: 214368 (C4 (Web Text))

Max Activating Token Index: 831