Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 1549 in Layer 5

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

Max Range: 0.0825. Min Range: -0.0825

Max Act: 0.0825. Min Act: -0.0000

Data Index: 570413 (C4 (Web Text))

Max Activating Token Index: 980

Text #1

Max Range: 0.0825. Min Range: -0.0825

Max Act: 0.0698. Min Act: -0.0000

Data Index: 931273 (C4 (Web Text))

Max Activating Token Index: 359

Text #2

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Max Act: 0.0645. Min Act: -0.0000

Data Index: 1509305 (Python Code)

Max Activating Token Index: 128

Text #3

Max Range: 0.0825. Min Range: -0.0825

Max Act: 0.0599. Min Act: -0.0000

Data Index: 40650 (C4 (Web Text))

Max Activating Token Index: 403

Text #4

Max Range: 0.0825. Min Range: -0.0825

Max Act: 0.0604. Min Act: -0.0000

Data Index: 496507 (C4 (Web Text))

Max Activating Token Index: 392

Text #5

Max Range: 0.0825. Min Range: -0.0825

Max Act: 0.0548. Min Act: -0.0000

Data Index: 103030 (C4 (Web Text))

Max Activating Token Index: 474

Text #6

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Max Act: 0.0553. Min Act: -0.0000

Data Index: 1032570 (C4 (Web Text))

Max Activating Token Index: 312

Text #7

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Max Act: 0.0515. Min Act: -0.0000

Data Index: 1318161 (C4 (Web Text))

Max Activating Token Index: 843

Text #8

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Max Act: 0.0501. Min Act: -0.0000

Data Index: 1349342 (C4 (Web Text))

Max Activating Token Index: 61

Text #9

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Max Act: 0.0467. Min Act: -0.0000

Data Index: 213463 (C4 (Web Text))

Max Activating Token Index: 482

Text #10

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Max Act: 0.0458. Min Act: -0.0000

Data Index: 819917 (C4 (Web Text))

Max Activating Token Index: 895

Text #11

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Max Act: 0.0455. Min Act: -0.0000

Data Index: 1379544 (Python Code)

Max Activating Token Index: 160

Text #12

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Max Act: 0.0443. Min Act: -0.0000

Data Index: 1651578 (Python Code)

Max Activating Token Index: 517

Text #13

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Max Act: 0.0412. Min Act: -0.0000

Data Index: 1001572 (C4 (Web Text))

Max Activating Token Index: 355

Text #14

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Max Act: 0.0391. Min Act: -0.0000

Data Index: 1535473 (Python Code)

Max Activating Token Index: 103

Text #15

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Max Act: 0.0359. Min Act: -0.0000

Data Index: 1474615 (Python Code)

Max Activating Token Index: 337

Text #16

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Max Act: 0.0407. Min Act: -0.0000

Data Index: 1164063 (C4 (Web Text))

Max Activating Token Index: 791

Text #17

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Max Act: 0.0384. Min Act: -0.0000

Data Index: 1404728 (Python Code)

Max Activating Token Index: 848

Text #18

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Max Act: 0.0368. Min Act: -0.0000

Data Index: 729164 (C4 (Web Text))

Max Activating Token Index: 380

Text #19

Max Range: 0.0825. Min Range: -0.0825

Max Act: 0.0365. Min Act: -0.0000

Data Index: 311477 (C4 (Web Text))

Max Activating Token Index: 753