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

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

Neuron 1612 in Layer 1

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

Text #0

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Max Act: 0.0447. Min Act: -0.0003

Data Index: 691208 (C4 (Web Text))

Max Activating Token Index: 503

Text #1

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Max Act: 0.0416. Min Act: -0.0002

Data Index: 276613 (C4 (Web Text))

Max Activating Token Index: 198

Text #2

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Max Act: 0.0398. Min Act: -0.0003

Data Index: 420051 (C4 (Web Text))

Max Activating Token Index: 104

Text #3

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Max Act: 0.0387. Min Act: -0.0002

Data Index: 1301079 (C4 (Web Text))

Max Activating Token Index: 370

Text #4

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Max Act: 0.0396. Min Act: -0.0003

Data Index: 332160 (C4 (Web Text))

Max Activating Token Index: 45

Text #5

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Max Act: 0.0347. Min Act: -0.0003

Data Index: 382187 (C4 (Web Text))

Max Activating Token Index: 726

Text #6

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Max Activating Token Index: 1023

Text #7

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Max Activating Token Index: 681

Text #8

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Data Index: 953429 (C4 (Web Text))

Max Activating Token Index: 208

Text #9

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Max Activating Token Index: 436

Text #10

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Data Index: 786979 (C4 (Web Text))

Max Activating Token Index: 292

Text #11

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Max Activating Token Index: 705

Text #12

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Data Index: 308153 (C4 (Web Text))

Max Activating Token Index: 643

Text #13

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Data Index: 1088434 (C4 (Web Text))

Max Activating Token Index: 450

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 351

Text #17

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Max Activating Token Index: 480

Text #18

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Max Activating Token Index: 326

Text #19

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Data Index: 691608 (C4 (Web Text))

Max Activating Token Index: 521