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

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

Neuron 1660 in Layer 0

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

Text #0

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 1174174 (C4 (Web Text))

Max Activating Token Index: 345

Text #1

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Max Act: 0.0128. Min Act: -0.0002

Data Index: 897202 (C4 (Web Text))

Max Activating Token Index: 43

Text #2

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Max Act: 0.0128. Min Act: -0.0002

Data Index: 648408 (C4 (Web Text))

Max Activating Token Index: 897

Text #3

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Max Act: 0.0127. Min Act: -0.0002

Data Index: 601894 (C4 (Web Text))

Max Activating Token Index: 91

Text #4

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 271851 (C4 (Web Text))

Max Activating Token Index: 646

Text #5

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 345782 (C4 (Web Text))

Max Activating Token Index: 451

Text #6

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Data Index: 351632 (C4 (Web Text))

Max Activating Token Index: 909

Text #7

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Max Activating Token Index: 194

Text #8

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Max Activating Token Index: 689

Text #9

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Max Activating Token Index: 714

Text #10

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Data Index: 393593 (C4 (Web Text))

Max Activating Token Index: 153

Text #11

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Max Activating Token Index: 870

Text #12

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Max Activating Token Index: 16

Text #13

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Max Activating Token Index: 269

Text #14

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Data Index: 249397 (C4 (Web Text))

Max Activating Token Index: 224

Text #15

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Max Activating Token Index: 742

Text #16

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Max Activating Token Index: 347

Text #17

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Max Activating Token Index: 359

Text #18

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Max Activating Token Index: 592

Text #19

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Data Index: 743485 (C4 (Web Text))

Max Activating Token Index: 526