Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 927 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0172. Min Act: -0.0005

Data Index: 649724 (C4 (Web Text))

Max Activating Token Index: 817

Text #1

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Data Index: 795632 (C4 (Web Text))

Max Activating Token Index: 726

Text #2

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Max Act: 0.0153. Min Act: -0.0005

Data Index: 504481 (C4 (Web Text))

Max Activating Token Index: 915

Text #3

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Max Act: 0.0147. Min Act: -0.0004

Data Index: 454 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0147. Min Act: -0.0005

Data Index: 1073836 (C4 (Web Text))

Max Activating Token Index: 223

Text #5

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Data Index: 1354511 (C4 (Web Text))

Max Activating Token Index: 469

Text #6

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Data Index: 233507 (C4 (Web Text))

Max Activating Token Index: 760

Text #7

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Data Index: 1580489 (Python Code)

Max Activating Token Index: 1023

Text #8

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Data Index: 322274 (C4 (Web Text))

Max Activating Token Index: 1023

Text #9

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Max Activating Token Index: 330

Text #10

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Max Activating Token Index: 460

Text #11

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Max Activating Token Index: 504

Text #12

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Max Activating Token Index: 674

Text #13

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Data Index: 296513 (C4 (Web Text))

Max Activating Token Index: 859

Text #14

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Data Index: 612634 (C4 (Web Text))

Max Activating Token Index: 672

Text #15

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Max Activating Token Index: 200

Text #16

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Max Activating Token Index: 791

Text #17

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Max Activating Token Index: 475

Text #18

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Data Index: 609401 (C4 (Web Text))

Max Activating Token Index: 510

Text #19

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Data Index: 1017466 (C4 (Web Text))

Max Activating Token Index: 977