Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1466 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0123. Min Act: -0.0004

Data Index: 872884 (C4 (Web Text))

Max Activating Token Index: 451

Text #1

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Data Index: 80642 (C4 (Web Text))

Max Activating Token Index: 848

Text #2

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Data Index: 1046463 (C4 (Web Text))

Max Activating Token Index: 295

Text #3

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Max Act: 0.0112. Min Act: -0.0004

Data Index: 654506 (C4 (Web Text))

Max Activating Token Index: 548

Text #4

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Data Index: 1058624 (C4 (Web Text))

Max Activating Token Index: 770

Text #5

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Data Index: 560834 (C4 (Web Text))

Max Activating Token Index: 671

Text #6

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Data Index: 172255 (C4 (Web Text))

Max Activating Token Index: 19

Text #7

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Max Activating Token Index: 311

Text #8

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Max Activating Token Index: 778

Text #9

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Max Activating Token Index: 700

Text #10

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Data Index: 743146 (C4 (Web Text))

Max Activating Token Index: 457

Text #11

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Data Index: 211165 (C4 (Web Text))

Max Activating Token Index: 225

Text #12

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Max Activating Token Index: 411

Text #13

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Data Index: 396397 (C4 (Web Text))

Max Activating Token Index: 720

Text #14

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Max Activating Token Index: 712

Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 890755 (C4 (Web Text))

Max Activating Token Index: 688