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

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

Neuron 1600 in Layer 1

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

Text #0

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Max Act: 0.1063. Min Act: -0.0002

Data Index: 282178 (C4 (Web Text))

Max Activating Token Index: 358

Text #1

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Max Act: 0.1037. Min Act: -0.0003

Data Index: 1196657 (C4 (Web Text))

Max Activating Token Index: 322

Text #2

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Max Act: 0.1014. Min Act: -0.0003

Data Index: 874298 (C4 (Web Text))

Max Activating Token Index: 481

Text #3

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Max Act: 0.1000. Min Act: -0.0002

Data Index: 252369 (C4 (Web Text))

Max Activating Token Index: 15

Text #4

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Max Act: 0.0973. Min Act: -0.0002

Data Index: 1334774 (C4 (Web Text))

Max Activating Token Index: 811

Text #5

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Max Activating Token Index: 7

Text #6

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Data Index: 700471 (C4 (Web Text))

Max Activating Token Index: 267

Text #7

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Max Activating Token Index: 506

Text #8

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Data Index: 862877 (C4 (Web Text))

Max Activating Token Index: 270

Text #9

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Data Index: 458495 (C4 (Web Text))

Max Activating Token Index: 397

Text #10

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Max Activating Token Index: 114

Text #11

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Data Index: 430230 (C4 (Web Text))

Max Activating Token Index: 569

Text #12

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Max Activating Token Index: 528

Text #13

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Max Activating Token Index: 468

Text #14

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Max Activating Token Index: 598

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 96

Text #18

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Max Activating Token Index: 227

Text #19

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Data Index: 86996 (C4 (Web Text))

Max Activating Token Index: 269