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

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

Neuron 56 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: 0.0480. Min Range: -0.0480

Max Act: 0.0480. Min Act: -0.0000

Data Index: 325951 (C4 (Web Text))

Max Activating Token Index: 319

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Truncated

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Text #1

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Max Act: 0.0449. Min Act: -0.0000

Data Index: 290556 (C4 (Web Text))

Max Activating Token Index: 554

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Truncated

Full Text #1


Text #2

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Max Act: 0.0397. Min Act: -0.0000

Data Index: 1003596 (C4 (Web Text))

Max Activating Token Index: 845

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Truncated

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Text #3

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Max Act: 0.0413. Min Act: -0.0000

Data Index: 748939 (C4 (Web Text))

Max Activating Token Index: 724

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Truncated

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Text #4

Max Range: 0.0480. Min Range: -0.0480

Max Act: 0.0392. Min Act: -0.0000

Data Index: 802425 (C4 (Web Text))

Max Activating Token Index: 111

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Truncated

Full Text #4


Text #5

Max Range: 0.0480. Min Range: -0.0480

Max Act: 0.0400. Min Act: -0.0000

Data Index: 263925 (C4 (Web Text))

Max Activating Token Index: 199

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Truncated

Full Text #5


Text #6

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Max Act: 0.0386. Min Act: -0.0000

Data Index: 897959 (C4 (Web Text))

Max Activating Token Index: 358

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Truncated

Full Text #6


Text #7

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Max Act: 0.0383. Min Act: -0.0000

Data Index: 429453 (C4 (Web Text))

Max Activating Token Index: 474

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Truncated

Full Text #7


Text #8

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Max Act: 0.0384. Min Act: -0.0000

Data Index: 560677 (C4 (Web Text))

Max Activating Token Index: 178

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Truncated

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Text #9

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Max Act: 0.0363. Min Act: -0.0000

Data Index: 438749 (C4 (Web Text))

Max Activating Token Index: 191

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Truncated

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Text #10

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Data Index: 679704 (C4 (Web Text))

Max Activating Token Index: 488

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Truncated

Full Text #10


Text #11

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Max Act: 0.0362. Min Act: -0.0000

Data Index: 1187917 (C4 (Web Text))

Max Activating Token Index: 741

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Truncated

Full Text #11


Text #12

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Max Act: 0.0336. Min Act: -0.0000

Data Index: 1193739 (C4 (Web Text))

Max Activating Token Index: 485

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Truncated

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Text #13

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Max Act: 0.0371. Min Act: -0.0000

Data Index: 962070 (C4 (Web Text))

Max Activating Token Index: 773

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Truncated

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Text #14

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Max Act: 0.0373. Min Act: -0.0000

Data Index: 788686 (C4 (Web Text))

Max Activating Token Index: 868

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Truncated

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Text #15

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Max Act: 0.0383. Min Act: -0.0000

Data Index: 479052 (C4 (Web Text))

Max Activating Token Index: 140

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Truncated

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Text #16

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Max Act: 0.0367. Min Act: -0.0000

Data Index: 368686 (C4 (Web Text))

Max Activating Token Index: 264

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Truncated

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Text #17

Max Range: 0.0480. Min Range: -0.0480

Max Act: 0.0351. Min Act: -0.0000

Data Index: 433163 (C4 (Web Text))

Max Activating Token Index: 929

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Truncated

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Text #18

Max Range: 0.0480. Min Range: -0.0480

Max Act: 0.0371. Min Act: -0.0000

Data Index: 1148766 (C4 (Web Text))

Max Activating Token Index: 557

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Truncated

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Text #19

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Max Act: 0.0355. Min Act: -0.0000

Data Index: 1211209 (C4 (Web Text))

Max Activating Token Index: 738

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Truncated

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