Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 3056 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0427. Min Act: -0.0002

Data Index: 1191628 (C4 (Web Text))

Max Activating Token Index: 297

Text #1

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Max Act: 0.0394. Min Act: -0.0003

Data Index: 788748 (C4 (Web Text))

Max Activating Token Index: 17

Text #2

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Max Act: 0.0398. Min Act: -0.0003

Data Index: 1254757 (C4 (Web Text))

Max Activating Token Index: 613

Text #3

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Max Act: 0.0379. Min Act: -0.0003

Data Index: 722785 (C4 (Web Text))

Max Activating Token Index: 920

Text #4

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Data Index: 580759 (C4 (Web Text))

Max Activating Token Index: 820

Text #5

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Max Activating Token Index: 12

Text #6

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Max Activating Token Index: 316

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Max Activating Token Index: 600

Text #8

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Data Index: 530953 (C4 (Web Text))

Max Activating Token Index: 322

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Max Activating Token Index: 660

Text #10

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Max Activating Token Index: 640

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Max Activating Token Index: 308

Text #12

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Max Activating Token Index: 96

Text #13

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Max Activating Token Index: 790

Text #14

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Data Index: 393454 (C4 (Web Text))

Max Activating Token Index: 86

Text #15

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Max Activating Token Index: 100

Text #16

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Text #17

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Text #18

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Max Activating Token Index: 557

Text #19

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Data Index: 593324 (C4 (Web Text))

Max Activating Token Index: 68