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

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

Neuron 1298 in Layer 9

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 0.0816. Min Range: -0.0816

Max Act: 0.0816. Min Act: -0.0000

Data Index: 1264362 (C4 (Web Text))

Max Activating Token Index: 525

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Truncated

Full Text #0


Text #1

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Max Act: 0.0684. Min Act: -0.0000

Data Index: 1255968 (C4 (Web Text))

Max Activating Token Index: 491

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Truncated

Full Text #1


Text #2

Max Range: 0.0816. Min Range: -0.0816

Max Act: 0.0646. Min Act: -0.0000

Data Index: 265627 (C4 (Web Text))

Max Activating Token Index: 640

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Truncated

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Text #3

Max Range: 0.0816. Min Range: -0.0816

Max Act: 0.0617. Min Act: -0.0000

Data Index: 566019 (C4 (Web Text))

Max Activating Token Index: 327

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Truncated

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Text #4

Max Range: 0.0816. Min Range: -0.0816

Max Act: 0.0604. Min Act: -0.0000

Data Index: 44200 (C4 (Web Text))

Max Activating Token Index: 372

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Truncated

Full Text #4


Text #5

Max Range: 0.0816. Min Range: -0.0816

Max Act: 0.0571. Min Act: -0.0000

Data Index: 1181713 (C4 (Web Text))

Max Activating Token Index: 394

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Truncated

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Text #6

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Max Act: 0.0522. Min Act: -0.0000

Data Index: 893974 (C4 (Web Text))

Max Activating Token Index: 883

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Truncated

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Text #7

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Max Act: 0.0540. Min Act: -0.0000

Data Index: 52756 (C4 (Web Text))

Max Activating Token Index: 112

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Truncated

Full Text #7


Text #8

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Max Act: 0.0467. Min Act: -0.0000

Data Index: 314504 (C4 (Web Text))

Max Activating Token Index: 508

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Truncated

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Text #9

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Max Act: 0.0472. Min Act: -0.0000

Data Index: 1510609 (Python Code)

Max Activating Token Index: 584

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Truncated

Full Text #9


Text #10

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Max Act: 0.0444. Min Act: -0.0000

Data Index: 882472 (C4 (Web Text))

Max Activating Token Index: 104

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Truncated

Full Text #10


Text #11

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Max Act: 0.0451. Min Act: -0.0000

Data Index: 915888 (C4 (Web Text))

Max Activating Token Index: 409

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Truncated

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Text #12

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Max Act: 0.0356. Min Act: -0.0000

Data Index: 1139497 (C4 (Web Text))

Max Activating Token Index: 876

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Truncated

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Text #13

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Max Act: 0.0406. Min Act: -0.0000

Data Index: 872006 (C4 (Web Text))

Max Activating Token Index: 700

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Truncated

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Text #14

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Max Act: 0.0412. Min Act: -0.0000

Data Index: 159095 (C4 (Web Text))

Max Activating Token Index: 742

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Truncated

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Text #15

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Max Act: 0.0385. Min Act: -0.0000

Data Index: 290917 (C4 (Web Text))

Max Activating Token Index: 887

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Truncated

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Text #16

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Max Act: 0.0332. Min Act: 0.0000

Data Index: 998727 (C4 (Web Text))

Max Activating Token Index: 994

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Truncated

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Text #17

Max Range: 0.0816. Min Range: -0.0816

Max Act: 0.0368. Min Act: -0.0000

Data Index: 603644 (C4 (Web Text))

Max Activating Token Index: 430

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Truncated

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Text #18

Max Range: 0.0816. Min Range: -0.0816

Max Act: 0.0369. Min Act: -0.0000

Data Index: 1055354 (C4 (Web Text))

Max Activating Token Index: 883

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Truncated

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Text #19

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Max Act: 0.0378. Min Act: -0.0000

Data Index: 1443497 (Python Code)

Max Activating Token Index: 698

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Truncated

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