Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1878 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0433. Min Act: -0.0003

Data Index: 744542 (C4 (Web Text))

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0347. Min Act: -0.0003

Data Index: 249944 (C4 (Web Text))

Max Activating Token Index: 833

Text #2

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Max Act: 0.0339. Min Act: -0.0003

Data Index: 1161494 (C4 (Web Text))

Max Activating Token Index: 680

Text #3

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Max Act: 0.0300. Min Act: -0.0003

Data Index: 839102 (C4 (Web Text))

Max Activating Token Index: 654

Text #4

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Max Act: 0.0325. Min Act: -0.0003

Data Index: 268197 (C4 (Web Text))

Max Activating Token Index: 779

Text #5

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Max Act: 0.0320. Min Act: -0.0003

Data Index: 770397 (C4 (Web Text))

Max Activating Token Index: 399

Text #6

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Data Index: 1439862 (Python Code)

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Text #7

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Data Index: 1615303 (Python Code)

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Text #8

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Data Index: 43551 (C4 (Web Text))

Max Activating Token Index: 481

Text #9

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Data Index: 350429 (C4 (Web Text))

Max Activating Token Index: 1006

Text #10

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Max Activating Token Index: 308

Text #11

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Max Activating Token Index: 814

Text #12

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Max Activating Token Index: 643

Text #13

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Data Index: 140565 (C4 (Web Text))

Max Activating Token Index: 504

Text #14

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Data Index: 612472 (C4 (Web Text))

Max Activating Token Index: 484

Text #15

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Text #16

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Text #17

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Data Index: 130678 (C4 (Web Text))

Max Activating Token Index: 623

Text #18

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Max Activating Token Index: 844

Text #19

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Data Index: 110886 (C4 (Web Text))

Max Activating Token Index: 805