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

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

Neuron 1336 in Layer 2

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

Text #0

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Max Act: 0.0474. Min Act: -0.0005

Data Index: 1268963 (C4 (Web Text))

Max Activating Token Index: 668

Text #1

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Data Index: 585024 (C4 (Web Text))

Max Activating Token Index: 757

Text #2

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Max Act: 0.0406. Min Act: -0.0005

Data Index: 52480 (C4 (Web Text))

Max Activating Token Index: 352

Text #3

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Max Act: 0.0400. Min Act: -0.0005

Data Index: 943285 (C4 (Web Text))

Max Activating Token Index: 924

Text #4

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Data Index: 300210 (C4 (Web Text))

Max Activating Token Index: 417

Text #5

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Max Act: 0.0371. Min Act: -0.0005

Data Index: 922116 (C4 (Web Text))

Max Activating Token Index: 534

Text #6

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Max Activating Token Index: 669

Text #7

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Max Activating Token Index: 150

Text #8

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Max Activating Token Index: 170

Text #9

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Max Activating Token Index: 723

Text #10

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Max Activating Token Index: 160

Text #11

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Max Activating Token Index: 804

Text #12

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Data Index: 20689 (C4 (Web Text))

Max Activating Token Index: 481

Text #13

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Data Index: 317322 (C4 (Web Text))

Max Activating Token Index: 334

Text #14

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Max Activating Token Index: 385

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 945

Text #18

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Max Activating Token Index: 825

Text #19

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Data Index: 244437 (C4 (Web Text))

Max Activating Token Index: 951