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

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

Neuron 12 in Layer 0

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

Text #0

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Max Act: 0.0306. Min Act: -0.0002

Data Index: 238046 (C4 (Web Text))

Max Activating Token Index: 354

Text #1

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Data Index: 1219985 (C4 (Web Text))

Max Activating Token Index: 585

Text #2

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Data Index: 1330752 (C4 (Web Text))

Max Activating Token Index: 713

Text #3

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Data Index: 589407 (C4 (Web Text))

Max Activating Token Index: 531

Text #4

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Data Index: 152911 (C4 (Web Text))

Max Activating Token Index: 523

Text #5

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Data Index: 1136465 (C4 (Web Text))

Max Activating Token Index: 747

Text #6

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Max Activating Token Index: 468

Text #7

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Data Index: 599607 (C4 (Web Text))

Max Activating Token Index: 498

Text #8

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Data Index: 479460 (C4 (Web Text))

Max Activating Token Index: 168

Text #9

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Data Index: 92309 (C4 (Web Text))

Max Activating Token Index: 753

Text #10

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Max Activating Token Index: 423

Text #11

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Data Index: 334750 (C4 (Web Text))

Max Activating Token Index: 269

Text #12

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Data Index: 127802 (C4 (Web Text))

Max Activating Token Index: 414

Text #13

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Data Index: 1140381 (C4 (Web Text))

Max Activating Token Index: 414

Text #14

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Max Activating Token Index: 133

Text #15

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Max Activating Token Index: 403

Text #16

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Max Activating Token Index: 345

Text #17

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Data Index: 1007369 (C4 (Web Text))

Max Activating Token Index: 604

Text #18

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Data Index: 857919 (C4 (Web Text))

Max Activating Token Index: 900

Text #19

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Data Index: 1045399 (C4 (Web Text))

Max Activating Token Index: 356