Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 442 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0214. Min Act: -0.0006

Data Index: 962225 (C4 (Web Text))

Max Activating Token Index: 409

Text #1

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Max Act: 0.0213. Min Act: -0.0006

Data Index: 107255 (C4 (Web Text))

Max Activating Token Index: 425

Text #2

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Max Act: 0.0221. Min Act: -0.0006

Data Index: 70201 (C4 (Web Text))

Max Activating Token Index: 733

Text #3

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Max Act: 0.0211. Min Act: -0.0006

Data Index: 1289163 (C4 (Web Text))

Max Activating Token Index: 536

Text #4

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Data Index: 91990 (C4 (Web Text))

Max Activating Token Index: 608

Text #5

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Data Index: 926428 (C4 (Web Text))

Max Activating Token Index: 302

Text #6

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Max Activating Token Index: 640

Text #7

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Data Index: 266696 (C4 (Web Text))

Max Activating Token Index: 455

Text #8

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Data Index: 454145 (C4 (Web Text))

Max Activating Token Index: 852

Text #9

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Max Activating Token Index: 780

Text #10

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Max Activating Token Index: 236

Text #11

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Data Index: 249355 (C4 (Web Text))

Max Activating Token Index: 215

Text #12

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Max Activating Token Index: 731

Text #13

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Data Index: 883709 (C4 (Web Text))

Max Activating Token Index: 440

Text #14

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Max Activating Token Index: 407

Text #15

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Text #16

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Max Activating Token Index: 595

Text #17

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Max Activating Token Index: 549

Text #18

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Max Activating Token Index: 683

Text #19

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Data Index: 1028058 (C4 (Web Text))

Max Activating Token Index: 378