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

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

Neuron 1620 in Layer 2

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

Text #0

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Max Act: 0.0759. Min Act: -0.0002

Data Index: 1133388 (C4 (Web Text))

Max Activating Token Index: 51

Text #1

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Max Act: 0.0665. Min Act: -0.0003

Data Index: 1258674 (C4 (Web Text))

Max Activating Token Index: 1017

Text #2

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Max Act: 0.0674. Min Act: -0.0003

Data Index: 163242 (C4 (Web Text))

Max Activating Token Index: 362

Text #3

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Max Act: 0.0658. Min Act: -0.0003

Data Index: 61205 (C4 (Web Text))

Max Activating Token Index: 261

Text #4

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Max Act: 0.0645. Min Act: -0.0003

Data Index: 289893 (C4 (Web Text))

Max Activating Token Index: 310

Text #5

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Max Activating Token Index: 752

Text #6

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Data Index: 639493 (C4 (Web Text))

Max Activating Token Index: 257

Text #7

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Data Index: 652517 (C4 (Web Text))

Max Activating Token Index: 97

Text #8

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Max Activating Token Index: 619

Text #9

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Max Activating Token Index: 776

Text #10

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Data Index: 647672 (C4 (Web Text))

Max Activating Token Index: 615

Text #11

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Data Index: 1342842 (C4 (Web Text))

Max Activating Token Index: 437

Text #12

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Max Activating Token Index: 814

Text #13

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Data Index: 104645 (C4 (Web Text))

Max Activating Token Index: 434

Text #14

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Data Index: 150685 (C4 (Web Text))

Max Activating Token Index: 983

Text #15

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Max Activating Token Index: 885

Text #16

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Max Activating Token Index: 60

Text #17

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Max Activating Token Index: 833

Text #18

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Max Activating Token Index: 330

Text #19

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Data Index: 1226836 (C4 (Web Text))

Max Activating Token Index: 31