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

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

Neuron 4927 in Layer 2

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

Text #0

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Max Act: 0.0243. Min Act: -0.0002

Data Index: 329913 (C4 (Web Text))

Max Activating Token Index: 64

Text #1

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Data Index: 340568 (C4 (Web Text))

Max Activating Token Index: 407

Text #2

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Max Act: 0.0227. Min Act: -0.0002

Data Index: 809616 (C4 (Web Text))

Max Activating Token Index: 546

Text #3

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Data Index: 1078754 (C4 (Web Text))

Max Activating Token Index: 729

Text #4

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Max Act: 0.0191. Min Act: -0.0002

Data Index: 239184 (C4 (Web Text))

Max Activating Token Index: 319

Text #5

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Data Index: 1146286 (C4 (Web Text))

Max Activating Token Index: 527

Text #6

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Data Index: 967337 (C4 (Web Text))

Max Activating Token Index: 543

Text #7

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Max Activating Token Index: 281

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Text #9

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Max Activating Token Index: 473

Text #10

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Max Activating Token Index: 505

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Data Index: 294298 (C4 (Web Text))

Max Activating Token Index: 773

Text #12

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Data Index: 501783 (C4 (Web Text))

Max Activating Token Index: 359

Text #13

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Data Index: 1311683 (C4 (Web Text))

Max Activating Token Index: 777

Text #14

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Max Activating Token Index: 257

Text #15

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Text #16

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Max Activating Token Index: 480

Text #17

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Max Activating Token Index: 534

Text #18

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Data Index: 1334278 (C4 (Web Text))

Max Activating Token Index: 468

Text #19

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Data Index: 82661 (C4 (Web Text))

Max Activating Token Index: 405