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

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

Neuron 4892 in Layer 4

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

Max Range: 0.0497. Min Range: -0.0497

Max Act: 0.0497. Min Act: -0.0000

Data Index: 936674 (C4 (Web Text))

Max Activating Token Index: 611

Text #1

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Max Act: 0.0495. Min Act: -0.0000

Data Index: 1430579 (Python Code)

Max Activating Token Index: 821

Text #2

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Max Act: 0.0463. Min Act: -0.0000

Data Index: 971445 (C4 (Web Text))

Max Activating Token Index: 460

Text #3

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Max Act: 0.0387. Min Act: -0.0000

Data Index: 280484 (C4 (Web Text))

Max Activating Token Index: 160

Text #4

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Max Act: 0.0441. Min Act: -0.0000

Data Index: 305052 (C4 (Web Text))

Max Activating Token Index: 990

Text #5

Max Range: 0.0497. Min Range: -0.0497

Max Act: 0.0414. Min Act: -0.0000

Data Index: 471657 (C4 (Web Text))

Max Activating Token Index: 887

Text #6

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Max Act: 0.0457. Min Act: -0.0000

Data Index: 1621575 (Python Code)

Max Activating Token Index: 606

Text #7

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Max Act: 0.0372. Min Act: -0.0000

Data Index: 1597473 (Python Code)

Max Activating Token Index: 263

Text #8

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Max Act: 0.0402. Min Act: -0.0000

Data Index: 1631429 (Python Code)

Max Activating Token Index: 1010

Text #9

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Max Act: 0.0419. Min Act: -0.0000

Data Index: 1378106 (Python Code)

Max Activating Token Index: 824

Text #10

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Max Act: 0.0455. Min Act: -0.0000

Data Index: 904498 (C4 (Web Text))

Max Activating Token Index: 966

Text #11

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Max Act: 0.0397. Min Act: -0.0001

Data Index: 1272702 (C4 (Web Text))

Max Activating Token Index: 337

Text #12

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Data Index: 1212054 (C4 (Web Text))

Max Activating Token Index: 422

Text #13

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Data Index: 1135481 (C4 (Web Text))

Max Activating Token Index: 779

Text #14

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Max Act: 0.0378. Min Act: -0.0000

Data Index: 1639955 (Python Code)

Max Activating Token Index: 603

Text #15

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Max Act: 0.0355. Min Act: -0.0001

Data Index: 1334984 (C4 (Web Text))

Max Activating Token Index: 864

Text #16

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Data Index: 1417509 (Python Code)

Max Activating Token Index: 612

Text #17

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Max Act: 0.0375. Min Act: -0.0000

Data Index: 1625573 (Python Code)

Max Activating Token Index: 935

Text #18

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Max Act: 0.0349. Min Act: -0.0000

Data Index: 1607652 (Python Code)

Max Activating Token Index: 517

Text #19

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Max Act: 0.0385. Min Act: -0.0000

Data Index: 1426786 (Python Code)

Max Activating Token Index: 450