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

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

Neuron 3312 in Layer 1

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

Text #0

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Max Act: 0.0430. Min Act: -0.0003

Data Index: 352618 (C4 (Web Text))

Max Activating Token Index: 612

Text #1

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Max Act: 0.0412. Min Act: -0.0003

Data Index: 658677 (C4 (Web Text))

Max Activating Token Index: 195

Text #2

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Max Act: 0.0398. Min Act: -0.0003

Data Index: 973232 (C4 (Web Text))

Max Activating Token Index: 391

Text #3

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Max Act: 0.0369. Min Act: -0.0003

Data Index: 1076886 (C4 (Web Text))

Max Activating Token Index: 88

Text #4

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Max Act: 0.0379. Min Act: -0.0002

Data Index: 488837 (C4 (Web Text))

Max Activating Token Index: 297

Text #5

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Max Act: 0.0387. Min Act: -0.0003

Data Index: 1223622 (C4 (Web Text))

Max Activating Token Index: 278

Text #6

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Max Act: 0.0350. Min Act: -0.0003

Data Index: 808351 (C4 (Web Text))

Max Activating Token Index: 234

Text #7

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Data Index: 308128 (C4 (Web Text))

Max Activating Token Index: 304

Text #8

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Max Activating Token Index: 758

Text #9

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Max Activating Token Index: 113

Text #10

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Data Index: 1007417 (C4 (Web Text))

Max Activating Token Index: 355

Text #11

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Data Index: 284687 (C4 (Web Text))

Max Activating Token Index: 212

Text #12

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Max Activating Token Index: 591

Text #13

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Data Index: 1141740 (C4 (Web Text))

Max Activating Token Index: 302

Text #14

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Data Index: 936776 (C4 (Web Text))

Max Activating Token Index: 635

Text #15

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Data Index: 505301 (C4 (Web Text))

Max Activating Token Index: 491

Text #16

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Max Activating Token Index: 331

Text #17

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Max Activating Token Index: 949

Text #18

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Data Index: 659770 (C4 (Web Text))

Max Activating Token Index: 365

Text #19

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Max Act: 0.0319. Min Act: -0.0003

Data Index: 863663 (C4 (Web Text))

Max Activating Token Index: 108