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

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

Neuron 856 in Layer 2

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

Text #0

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Max Act: 0.0415. Min Act: -0.0002

Data Index: 78287 (C4 (Web Text))

Max Activating Token Index: 450

Text #1

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Max Act: 0.0346. Min Act: -0.0002

Data Index: 858279 (C4 (Web Text))

Max Activating Token Index: 747

Text #2

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Max Act: 0.0345. Min Act: -0.0002

Data Index: 317451 (C4 (Web Text))

Max Activating Token Index: 561

Text #3

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Max Act: 0.0330. Min Act: -0.0002

Data Index: 1088624 (C4 (Web Text))

Max Activating Token Index: 235

Text #4

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Max Act: 0.0300. Min Act: -0.0002

Data Index: 510240 (C4 (Web Text))

Max Activating Token Index: 1012

Text #5

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Data Index: 1357251 (C4 (Web Text))

Max Activating Token Index: 905

Text #6

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Max Activating Token Index: 446

Text #7

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Data Index: 83233 (C4 (Web Text))

Max Activating Token Index: 564

Text #8

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Data Index: 495560 (C4 (Web Text))

Max Activating Token Index: 503

Text #9

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Max Activating Token Index: 303

Text #10

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Max Activating Token Index: 155

Text #11

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Max Activating Token Index: 532

Text #12

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Data Index: 921984 (C4 (Web Text))

Max Activating Token Index: 135

Text #13

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Data Index: 290838 (C4 (Web Text))

Max Activating Token Index: 597

Text #14

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Data Index: 1077323 (C4 (Web Text))

Max Activating Token Index: 479

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 156

Text #18

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Data Index: 1047996 (C4 (Web Text))

Max Activating Token Index: 386

Text #19

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Data Index: 1021725 (C4 (Web Text))

Max Activating Token Index: 169