Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 342 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0380. Min Act: -0.0003

Data Index: 190065 (C4 (Web Text))

Max Activating Token Index: 95

Text #1

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Max Act: 0.0363. Min Act: -0.0003

Data Index: 1283277 (C4 (Web Text))

Max Activating Token Index: 451

Text #2

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Max Act: 0.0349. Min Act: -0.0003

Data Index: 213789 (C4 (Web Text))

Max Activating Token Index: 308

Text #3

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Max Act: 0.0338. Min Act: -0.0003

Data Index: 430005 (C4 (Web Text))

Max Activating Token Index: 142

Text #4

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Max Act: 0.0342. Min Act: -0.0003

Data Index: 640395 (C4 (Web Text))

Max Activating Token Index: 418

Text #5

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Max Activating Token Index: 915

Text #6

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Max Activating Token Index: 581

Text #7

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Data Index: 259892 (C4 (Web Text))

Max Activating Token Index: 235

Text #8

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Max Activating Token Index: 53

Text #9

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Max Activating Token Index: 578

Text #10

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Max Activating Token Index: 522

Text #11

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Data Index: 489604 (C4 (Web Text))

Max Activating Token Index: 664

Text #12

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Max Activating Token Index: 386

Text #13

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Max Activating Token Index: 583

Text #14

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Data Index: 1190000 (C4 (Web Text))

Max Activating Token Index: 815

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 19

Text #18

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Text #19

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Data Index: 720793 (C4 (Web Text))

Max Activating Token Index: 848