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

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

Neuron 1501 in Layer 0

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

Text #0

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Max Act: 0.0395. Min Act: -0.0002

Data Index: 479463 (C4 (Web Text))

Max Activating Token Index: 520

Text #1

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Data Index: 142692 (C4 (Web Text))

Max Activating Token Index: 659

Text #2

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Max Act: 0.0381. Min Act: -0.0002

Data Index: 438090 (C4 (Web Text))

Max Activating Token Index: 462

Text #3

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Max Act: 0.0377. Min Act: -0.0002

Data Index: 505920 (C4 (Web Text))

Max Activating Token Index: 701

Text #4

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Data Index: 1268835 (C4 (Web Text))

Max Activating Token Index: 875

Text #5

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Max Act: 0.0362. Min Act: -0.0002

Data Index: 41821 (C4 (Web Text))

Max Activating Token Index: 642

Text #6

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Data Index: 422067 (C4 (Web Text))

Max Activating Token Index: 153

Text #7

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Text #8

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Max Activating Token Index: 765

Text #9

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Data Index: 25619 (C4 (Web Text))

Max Activating Token Index: 701

Text #10

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Data Index: 427078 (C4 (Web Text))

Max Activating Token Index: 713

Text #11

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Data Index: 485590 (C4 (Web Text))

Max Activating Token Index: 549

Text #12

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Data Index: 270705 (C4 (Web Text))

Max Activating Token Index: 184

Text #13

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Data Index: 1301646 (C4 (Web Text))

Max Activating Token Index: 330

Text #14

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Data Index: 769882 (C4 (Web Text))

Max Activating Token Index: 165

Text #15

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Max Activating Token Index: 465

Text #16

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Max Activating Token Index: 628

Text #17

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Max Activating Token Index: 739

Text #18

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Max Activating Token Index: 840

Text #19

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Data Index: 541968 (C4 (Web Text))

Max Activating Token Index: 761