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

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

Neuron 4075 in Layer 2

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

Text #0

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Max Act: 0.0458. Min Act: -0.0002

Data Index: 326042 (C4 (Web Text))

Max Activating Token Index: 564

Text #1

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Max Act: 0.0429. Min Act: -0.0002

Data Index: 217489 (C4 (Web Text))

Max Activating Token Index: 288

Text #2

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Max Act: 0.0336. Min Act: -0.0002

Data Index: 887177 (C4 (Web Text))

Max Activating Token Index: 701

Text #3

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Max Act: 0.0314. Min Act: -0.0002

Data Index: 1066463 (C4 (Web Text))

Max Activating Token Index: 357

Text #4

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Max Act: 0.0290. Min Act: -0.0002

Data Index: 354796 (C4 (Web Text))

Max Activating Token Index: 876

Text #5

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Max Act: 0.0270. Min Act: -0.0002

Data Index: 471193 (C4 (Web Text))

Max Activating Token Index: 360

Text #6

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Max Activating Token Index: 873

Text #7

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Max Activating Token Index: 377

Text #8

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Data Index: 321449 (C4 (Web Text))

Max Activating Token Index: 842

Text #9

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Data Index: 92002 (C4 (Web Text))

Max Activating Token Index: 256

Text #10

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Max Activating Token Index: 127

Text #11

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Max Activating Token Index: 581

Text #12

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Max Activating Token Index: 695

Text #13

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Data Index: 3981 (C4 (Web Text))

Max Activating Token Index: 817

Text #14

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Data Index: 626299 (C4 (Web Text))

Max Activating Token Index: 707

Text #15

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Max Activating Token Index: 474

Text #16

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Max Activating Token Index: 95

Text #17

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Data Index: 183304 (C4 (Web Text))

Max Activating Token Index: 498

Text #18

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Data Index: 144205 (C4 (Web Text))

Max Activating Token Index: 786

Text #19

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Data Index: 1386937 (Python Code)

Max Activating Token Index: 39