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

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

Neuron 5103 in Layer 5

Load this data into an Interactive Neuroscope

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



Text #0

Max Range: 0.0463. Min Range: -0.0463

Max Act: 0.0463. Min Act: -0.0000

Data Index: 203504 (C4 (Web Text))

Max Activating Token Index: 968

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Truncated

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Text #1

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Max Act: 0.0376. Min Act: -0.0000

Data Index: 644969 (C4 (Web Text))

Max Activating Token Index: 235

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Truncated

Full Text #1


Text #2

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Max Act: 0.0433. Min Act: -0.0000

Data Index: 985884 (C4 (Web Text))

Max Activating Token Index: 458

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Truncated

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Text #3

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Max Act: 0.0423. Min Act: -0.0000

Data Index: 679306 (C4 (Web Text))

Max Activating Token Index: 405

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Truncated

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Text #4

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Max Act: 0.0429. Min Act: -0.0000

Data Index: 157919 (C4 (Web Text))

Max Activating Token Index: 714

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Truncated

Full Text #4


Text #5

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Max Act: 0.0413. Min Act: -0.0000

Data Index: 771344 (C4 (Web Text))

Max Activating Token Index: 157

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Truncated

Full Text #5


Text #6

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Max Act: 0.0404. Min Act: -0.0000

Data Index: 60979 (C4 (Web Text))

Max Activating Token Index: 993

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Truncated

Full Text #6


Text #7

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Max Act: 0.0392. Min Act: -0.0000

Data Index: 993673 (C4 (Web Text))

Max Activating Token Index: 54

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Truncated

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Text #8

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Max Act: 0.0404. Min Act: -0.0000

Data Index: 782916 (C4 (Web Text))

Max Activating Token Index: 77

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Truncated

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Text #9

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Max Act: 0.0373. Min Act: -0.0000

Data Index: 747496 (C4 (Web Text))

Max Activating Token Index: 668

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Truncated

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Text #10

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Max Act: 0.0404. Min Act: -0.0000

Data Index: 437108 (C4 (Web Text))

Max Activating Token Index: 284

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Truncated

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Text #11

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Data Index: 674630 (C4 (Web Text))

Max Activating Token Index: 330

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Truncated

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Text #12

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Data Index: 1486210 (Python Code)

Max Activating Token Index: 26

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Truncated

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Text #13

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Data Index: 1209254 (C4 (Web Text))

Max Activating Token Index: 35

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Truncated

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Text #14

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Max Act: 0.0394. Min Act: -0.0000

Data Index: 362566 (C4 (Web Text))

Max Activating Token Index: 547

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Truncated

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Text #15

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Max Act: 0.0396. Min Act: -0.0000

Data Index: 260482 (C4 (Web Text))

Max Activating Token Index: 745

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Truncated

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Text #16

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Max Act: 0.0365. Min Act: -0.0000

Data Index: 1601296 (Python Code)

Max Activating Token Index: 13

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Truncated

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Text #17

Max Range: 0.0463. Min Range: -0.0463

Max Act: 0.0348. Min Act: -0.0000

Data Index: 876254 (C4 (Web Text))

Max Activating Token Index: 906

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Truncated

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Text #18

Max Range: 0.0463. Min Range: -0.0463

Max Act: 0.0372. Min Act: -0.0000

Data Index: 640397 (C4 (Web Text))

Max Activating Token Index: 48

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Truncated

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Text #19

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Max Act: 0.0406. Min Act: -0.0000

Data Index: 374813 (C4 (Web Text))

Max Activating Token Index: 165

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Truncated

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