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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2679 in Layer 4

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.0515. Min Act: -0.0001

Data Index: 344924 (C4 (Web Text))

Max Activating Token Index: 588

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Text #1

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Max Act: 0.0484. Min Act: -0.0001

Data Index: 698712 (C4 (Web Text))

Max Activating Token Index: 968

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Truncated

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Text #2

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Max Act: 0.0512. Min Act: -0.0001

Data Index: 1476170 (Python Code)

Max Activating Token Index: 850

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Text #3

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Max Act: 0.0445. Min Act: -0.0001

Data Index: 1326519 (C4 (Web Text))

Max Activating Token Index: 427

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Truncated

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Text #4

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Max Act: 0.0487. Min Act: -0.0001

Data Index: 752509 (C4 (Web Text))

Max Activating Token Index: 825

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Text #5

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Max Act: 0.0481. Min Act: -0.0001

Data Index: 446474 (C4 (Web Text))

Max Activating Token Index: 673

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Text #6

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Data Index: 78310 (C4 (Web Text))

Max Activating Token Index: 676

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Text #7

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Data Index: 531446 (C4 (Web Text))

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Text #8

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Data Index: 415551 (C4 (Web Text))

Max Activating Token Index: 768

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Text #9

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Data Index: 1447736 (Python Code)

Max Activating Token Index: 816

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Text #10

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Data Index: 934156 (C4 (Web Text))

Max Activating Token Index: 824

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Text #11

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Data Index: 25572 (C4 (Web Text))

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Text #12

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Data Index: 323044 (C4 (Web Text))

Max Activating Token Index: 284

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Text #13

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Data Index: 1612797 (Python Code)

Max Activating Token Index: 532

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Text #14

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Data Index: 28776 (C4 (Web Text))

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Text #15

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Data Index: 573915 (C4 (Web Text))

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Text #16

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Data Index: 1077 (C4 (Web Text))

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Text #17

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Max Act: 0.0421. Min Act: -0.0001

Data Index: 1211927 (C4 (Web Text))

Max Activating Token Index: 262

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Text #18

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Max Act: 0.0431. Min Act: -0.0001

Data Index: 1189578 (C4 (Web Text))

Max Activating Token Index: 457

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Text #19

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Max Act: 0.0452. Min Act: -0.0001

Data Index: 905496 (C4 (Web Text))

Max Activating Token Index: 392

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