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Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 901 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')



Text #0

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0388. Min Act: -0.0002

Data Index: 749999 (C4 (Web Text))

Max Activating Token Index: 567

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Truncated

Full Text #0


Text #1

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0381. Min Act: -0.0003

Data Index: 835020 (C4 (Web Text))

Max Activating Token Index: 867

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Truncated

Full Text #1


Text #2

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0363. Min Act: -0.0003

Data Index: 319689 (C4 (Web Text))

Max Activating Token Index: 578

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Truncated

Full Text #2


Text #3

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0349. Min Act: -0.0003

Data Index: 205076 (C4 (Web Text))

Max Activating Token Index: 426

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Truncated

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Text #4

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0349. Min Act: -0.0002

Data Index: 1503448 (Python Code)

Max Activating Token Index: 28

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Truncated

Full Text #4


Text #5

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0335. Min Act: -0.0003

Data Index: 607389 (C4 (Web Text))

Max Activating Token Index: 912

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Truncated

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Text #6

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Max Act: 0.0333. Min Act: -0.0003

Data Index: 227643 (C4 (Web Text))

Max Activating Token Index: 638

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Truncated

Full Text #6


Text #7

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0336. Min Act: -0.0003

Data Index: 240180 (C4 (Web Text))

Max Activating Token Index: 111

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Truncated

Full Text #7


Text #8

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0334. Min Act: -0.0003

Data Index: 1111053 (C4 (Web Text))

Max Activating Token Index: 967

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Truncated

Full Text #8


Text #9

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0331. Min Act: -0.0003

Data Index: 93243 (C4 (Web Text))

Max Activating Token Index: 381

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Truncated

Full Text #9


Text #10

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Max Act: 0.0328. Min Act: -0.0003

Data Index: 835526 (C4 (Web Text))

Max Activating Token Index: 124

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Truncated

Full Text #10


Text #11

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 1331432 (C4 (Web Text))

Max Activating Token Index: 752

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Truncated

Full Text #11


Text #12

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Max Act: 0.0317. Min Act: -0.0003

Data Index: 1370695 (Python Code)

Max Activating Token Index: 156

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Truncated

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Text #13

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Max Act: 0.0320. Min Act: -0.0003

Data Index: 1225005 (C4 (Web Text))

Max Activating Token Index: 498

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Truncated

Full Text #13


Text #14

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0315. Min Act: -0.0003

Data Index: 720031 (C4 (Web Text))

Max Activating Token Index: 642

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Truncated

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Text #15

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0315. Min Act: -0.0003

Data Index: 776750 (C4 (Web Text))

Max Activating Token Index: 559

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Truncated

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Text #16

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0305. Min Act: -0.0003

Data Index: 919784 (C4 (Web Text))

Max Activating Token Index: 390

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Truncated

Full Text #16


Text #17

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0307. Min Act: -0.0004

Data Index: 116191 (C4 (Web Text))

Max Activating Token Index: 43

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Truncated

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Text #18

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0311. Min Act: -0.0002

Data Index: 1172003 (C4 (Web Text))

Max Activating Token Index: 532

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Truncated

Full Text #18


Text #19

Max Range: 0.0388. Min Range: -0.0388

Max Act: 0.0317. Min Act: -0.0002

Data Index: 403455 (C4 (Web Text))

Max Activating Token Index: 920

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Truncated

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