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

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

Neuron 1550 in Layer 1

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

Text #0

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Max Act: 0.0587. Min Act: -0.0002

Data Index: 1328846 (C4 (Web Text))

Max Activating Token Index: 394

Text #1

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Max Activating Token Index: 27

Text #2

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Max Act: 0.0538. Min Act: -0.0003

Data Index: 540498 (C4 (Web Text))

Max Activating Token Index: 237

Text #3

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Max Act: 0.0542. Min Act: -0.0002

Data Index: 1059674 (C4 (Web Text))

Max Activating Token Index: 238

Text #4

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Max Act: 0.0562. Min Act: -0.0002

Data Index: 863415 (C4 (Web Text))

Max Activating Token Index: 456

Text #5

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Max Activating Token Index: 799

Text #6

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Max Activating Token Index: 29

Text #7

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Data Index: 116690 (C4 (Web Text))

Max Activating Token Index: 538

Text #8

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Max Activating Token Index: 481

Text #9

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Data Index: 911164 (C4 (Web Text))

Max Activating Token Index: 293

Text #10

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Max Activating Token Index: 69

Text #11

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Max Activating Token Index: 546

Text #12

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Max Activating Token Index: 210

Text #13

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Max Activating Token Index: 628

Text #14

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Max Activating Token Index: 711

Text #15

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Text #16

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Max Activating Token Index: 879

Text #17

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Max Activating Token Index: 533

Text #18

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Data Index: 321023 (C4 (Web Text))

Max Activating Token Index: 650

Text #19

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Data Index: 1286051 (C4 (Web Text))

Max Activating Token Index: 598