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

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

Neuron 116 in Layer 1

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

Text #0

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Max Act: 0.0339. Min Act: -0.0006

Data Index: 947959 (C4 (Web Text))

Max Activating Token Index: 556

Text #1

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Max Act: 0.0309. Min Act: -0.0006

Data Index: 1056368 (C4 (Web Text))

Max Activating Token Index: 830

Text #2

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Max Act: 0.0290. Min Act: -0.0006

Data Index: 1123077 (C4 (Web Text))

Max Activating Token Index: 596

Text #3

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Max Act: 0.0289. Min Act: -0.0006

Data Index: 1031922 (C4 (Web Text))

Max Activating Token Index: 702

Text #4

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Max Act: 0.0292. Min Act: -0.0006

Data Index: 374884 (C4 (Web Text))

Max Activating Token Index: 855

Text #5

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Max Act: 0.0282. Min Act: -0.0006

Data Index: 524989 (C4 (Web Text))

Max Activating Token Index: 408

Text #6

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Data Index: 661785 (C4 (Web Text))

Max Activating Token Index: 622

Text #7

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Max Activating Token Index: 843

Text #8

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Data Index: 1432030 (Python Code)

Max Activating Token Index: 194

Text #9

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Data Index: 212954 (C4 (Web Text))

Max Activating Token Index: 885

Text #10

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Data Index: 399486 (C4 (Web Text))

Max Activating Token Index: 498

Text #11

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Data Index: 1100650 (C4 (Web Text))

Max Activating Token Index: 812

Text #12

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Data Index: 254147 (C4 (Web Text))

Max Activating Token Index: 607

Text #13

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Data Index: 141726 (C4 (Web Text))

Max Activating Token Index: 358

Text #14

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Data Index: 68061 (C4 (Web Text))

Max Activating Token Index: 100

Text #15

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Text #16

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Max Activating Token Index: 471

Text #17

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Max Activating Token Index: 835

Text #18

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Data Index: 493189 (C4 (Web Text))

Max Activating Token Index: 963

Text #19

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Max Act: 0.0249. Min Act: -0.0006

Data Index: 334414 (C4 (Web Text))

Max Activating Token Index: 600