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

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

Neuron 2058 in Layer 0

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

Text #0

Max Range: 0.1127. Min Range: -0.1127

Max Act: 0.1127. Min Act: -0.0002

Data Index: 168662 (C4 (Web Text))

Max Activating Token Index: 429

Text #1

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Max Act: 0.1043. Min Act: -0.0002

Data Index: 543518 (C4 (Web Text))

Max Activating Token Index: 546

Text #2

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Max Act: 0.1033. Min Act: -0.0002

Data Index: 633880 (C4 (Web Text))

Max Activating Token Index: 49

Text #3

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Max Act: 0.0998. Min Act: -0.0002

Data Index: 215182 (C4 (Web Text))

Max Activating Token Index: 163

Text #4

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Max Act: 0.0982. Min Act: -0.0002

Data Index: 488744 (C4 (Web Text))

Max Activating Token Index: 479

Text #5

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Max Act: 0.0975. Min Act: -0.0002

Data Index: 168336 (C4 (Web Text))

Max Activating Token Index: 706

Text #6

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Data Index: 877612 (C4 (Web Text))

Max Activating Token Index: 330

Text #7

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Data Index: 289496 (C4 (Web Text))

Max Activating Token Index: 349

Text #8

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Max Activating Token Index: 325

Text #9

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Data Index: 590396 (C4 (Web Text))

Max Activating Token Index: 384

Text #10

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Max Activating Token Index: 795

Text #11

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Data Index: 988454 (C4 (Web Text))

Max Activating Token Index: 386

Text #12

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Data Index: 814 (C4 (Web Text))

Max Activating Token Index: 615

Text #13

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Data Index: 1131319 (C4 (Web Text))

Max Activating Token Index: 47

Text #14

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Data Index: 4338 (C4 (Web Text))

Max Activating Token Index: 37

Text #15

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Max Activating Token Index: 793

Text #16

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Max Activating Token Index: 532

Text #17

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Max Activating Token Index: 290

Text #18

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Data Index: 772681 (C4 (Web Text))

Max Activating Token Index: 905

Text #19

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Max Act: 0.0866. Min Act: -0.0002

Data Index: 879202 (C4 (Web Text))

Max Activating Token Index: 705