Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1692 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0468. Min Act: -0.0005

Data Index: 1126906 (C4 (Web Text))

Max Activating Token Index: 477

Text #1

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Max Act: 0.0435. Min Act: -0.0005

Data Index: 790542 (C4 (Web Text))

Max Activating Token Index: 337

Text #2

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Max Act: 0.0421. Min Act: -0.0005

Data Index: 592688 (C4 (Web Text))

Max Activating Token Index: 885

Text #3

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Max Act: 0.0418. Min Act: -0.0005

Data Index: 963865 (C4 (Web Text))

Max Activating Token Index: 691

Text #4

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Data Index: 1128101 (C4 (Web Text))

Max Activating Token Index: 160

Text #5

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Data Index: 1186871 (C4 (Web Text))

Max Activating Token Index: 585

Text #6

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Data Index: 804073 (C4 (Web Text))

Max Activating Token Index: 322

Text #7

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Data Index: 215180 (C4 (Web Text))

Max Activating Token Index: 214

Text #8

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Max Activating Token Index: 887

Text #9

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Max Activating Token Index: 744

Text #10

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Data Index: 1016718 (C4 (Web Text))

Max Activating Token Index: 506

Text #11

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Max Activating Token Index: 89

Text #12

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Max Activating Token Index: 894

Text #13

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Max Activating Token Index: 599

Text #14

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Data Index: 114225 (C4 (Web Text))

Max Activating Token Index: 545

Text #15

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Max Activating Token Index: 680

Text #16

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Max Activating Token Index: 539

Text #17

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Max Activating Token Index: 399

Text #18

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Max Activating Token Index: 858

Text #19

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Data Index: 534461 (C4 (Web Text))

Max Activating Token Index: 743