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

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

Neuron 1951 in Layer 1

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

Text #0

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Max Act: 0.0434. Min Act: -0.0006

Data Index: 202855 (C4 (Web Text))

Max Activating Token Index: 650

Text #1

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Max Act: 0.0404. Min Act: -0.0006

Data Index: 903614 (C4 (Web Text))

Max Activating Token Index: 623

Text #2

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Max Act: 0.0390. Min Act: -0.0006

Data Index: 636923 (C4 (Web Text))

Max Activating Token Index: 360

Text #3

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Max Act: 0.0375. Min Act: -0.0006

Data Index: 1034817 (C4 (Web Text))

Max Activating Token Index: 478

Text #4

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Max Act: 0.0361. Min Act: -0.0006

Data Index: 25286 (C4 (Web Text))

Max Activating Token Index: 885

Text #5

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Max Act: 0.0375. Min Act: -0.0006

Data Index: 1004212 (C4 (Web Text))

Max Activating Token Index: 842

Text #6

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Max Activating Token Index: 223

Text #7

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Max Activating Token Index: 749

Text #8

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Max Activating Token Index: 745

Text #9

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Max Activating Token Index: 550

Text #10

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Data Index: 813507 (C4 (Web Text))

Max Activating Token Index: 895

Text #11

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Max Activating Token Index: 541

Text #12

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Data Index: 286313 (C4 (Web Text))

Max Activating Token Index: 384

Text #13

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Data Index: 624673 (C4 (Web Text))

Max Activating Token Index: 193

Text #14

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Max Activating Token Index: 12

Text #15

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Max Activating Token Index: 231

Text #16

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Max Activating Token Index: 635

Text #17

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Max Activating Token Index: 733

Text #18

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Data Index: 243997 (C4 (Web Text))

Max Activating Token Index: 377

Text #19

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Max Act: 0.0344. Min Act: -0.0006

Data Index: 968060 (C4 (Web Text))

Max Activating Token Index: 32