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

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

Neuron 3883 in Layer 2

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

Text #0

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Max Act: 0.0462. Min Act: -0.0002

Data Index: 343047 (C4 (Web Text))

Max Activating Token Index: 8

Text #1

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Max Act: 0.0385. Min Act: -0.0002

Data Index: 302084 (C4 (Web Text))

Max Activating Token Index: 265

Text #2

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Max Act: 0.0408. Min Act: -0.0002

Data Index: 923630 (C4 (Web Text))

Max Activating Token Index: 155

Text #3

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Max Act: 0.0386. Min Act: -0.0002

Data Index: 836080 (C4 (Web Text))

Max Activating Token Index: 323

Text #4

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Max Act: 0.0378. Min Act: -0.0002

Data Index: 450489 (C4 (Web Text))

Max Activating Token Index: 432

Text #5

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Max Act: 0.0363. Min Act: -0.0002

Data Index: 917485 (C4 (Web Text))

Max Activating Token Index: 515

Text #6

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Data Index: 957575 (C4 (Web Text))

Max Activating Token Index: 206

Text #7

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Max Activating Token Index: 759

Text #8

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Data Index: 1311061 (C4 (Web Text))

Max Activating Token Index: 291

Text #9

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Data Index: 1034381 (C4 (Web Text))

Max Activating Token Index: 767

Text #10

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Data Index: 81826 (C4 (Web Text))

Max Activating Token Index: 1000

Text #11

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Data Index: 234444 (C4 (Web Text))

Max Activating Token Index: 618

Text #12

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Data Index: 228527 (C4 (Web Text))

Max Activating Token Index: 714

Text #13

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Data Index: 573413 (C4 (Web Text))

Max Activating Token Index: 314

Text #14

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Max Activating Token Index: 1020

Text #15

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Max Activating Token Index: 70

Text #16

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Max Activating Token Index: 821

Text #17

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Max Activating Token Index: 155

Text #18

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Max Activating Token Index: 589

Text #19

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Data Index: 1315304 (C4 (Web Text))

Max Activating Token Index: 54