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

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

Neuron 1776 in Layer 5

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

Text #0

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Max Act: 0.0624. Min Act: -0.0000

Data Index: 1369846 (Python Code)

Max Activating Token Index: 83

Text #1

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Max Act: 0.0538. Min Act: -0.0000

Data Index: 639556 (C4 (Web Text))

Max Activating Token Index: 829

Text #2

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Max Act: 0.0514. Min Act: -0.0000

Data Index: 760987 (C4 (Web Text))

Max Activating Token Index: 642

Text #3

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Max Act: 0.0529. Min Act: -0.0000

Data Index: 79650 (C4 (Web Text))

Max Activating Token Index: 399

Text #4

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Max Act: 0.0500. Min Act: -0.0000

Data Index: 541189 (C4 (Web Text))

Max Activating Token Index: 415

Text #5

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Max Act: 0.0484. Min Act: -0.0000

Data Index: 1601459 (Python Code)

Max Activating Token Index: 250

Text #6

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Data Index: 1397232 (Python Code)

Max Activating Token Index: 427

Text #7

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Max Activating Token Index: 762

Text #8

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Data Index: 190723 (C4 (Web Text))

Max Activating Token Index: 720

Text #9

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Data Index: 639439 (C4 (Web Text))

Max Activating Token Index: 286

Text #10

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Data Index: 1647090 (Python Code)

Max Activating Token Index: 248

Text #11

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Data Index: 1451226 (Python Code)

Max Activating Token Index: 308

Text #12

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Data Index: 838467 (C4 (Web Text))

Max Activating Token Index: 308

Text #13

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Data Index: 554945 (C4 (Web Text))

Max Activating Token Index: 582

Text #14

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Data Index: 1365871 (Python Code)

Max Activating Token Index: 96

Text #15

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Max Activating Token Index: 561

Text #16

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Text #17

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Data Index: 285448 (C4 (Web Text))

Max Activating Token Index: 281

Text #18

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Data Index: 1117596 (C4 (Web Text))

Max Activating Token Index: 357

Text #19

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Data Index: 1568360 (Python Code)

Max Activating Token Index: 569