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

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

Neuron 1093 in Layer 6

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



Text #0

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Max Act: 1.0384. Min Act: -0.0000

Data Index: 1465223 (Python Code)

Max Activating Token Index: 411

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Text #1

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Max Act: 0.9830. Min Act: -0.0000

Data Index: 319382 (C4 (Web Text))

Max Activating Token Index: 634

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Text #2

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Max Act: 0.9360. Min Act: -0.0000

Data Index: 102581 (C4 (Web Text))

Max Activating Token Index: 776

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Text #3

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Max Act: 0.8909. Min Act: -0.0000

Data Index: 265106 (C4 (Web Text))

Max Activating Token Index: 274

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Text #4

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Max Act: 0.9413. Min Act: -0.0000

Data Index: 500654 (C4 (Web Text))

Max Activating Token Index: 351

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Truncated

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Text #5

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Max Act: 0.8423. Min Act: -0.0000

Data Index: 495430 (C4 (Web Text))

Max Activating Token Index: 718

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Text #6

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Data Index: 530371 (C4 (Web Text))

Max Activating Token Index: 903

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Text #7

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Data Index: 459855 (C4 (Web Text))

Max Activating Token Index: 633

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Text #8

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Max Act: 0.8669. Min Act: -0.0000

Data Index: 1184216 (C4 (Web Text))

Max Activating Token Index: 462

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Text #9

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Data Index: 741683 (C4 (Web Text))

Max Activating Token Index: 160

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Text #10

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Data Index: 1447001 (Python Code)

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Text #11

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Data Index: 1292327 (C4 (Web Text))

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Text #12

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Data Index: 199098 (C4 (Web Text))

Max Activating Token Index: 228

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Text #13

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Data Index: 1080131 (C4 (Web Text))

Max Activating Token Index: 855

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Text #14

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Data Index: 972344 (C4 (Web Text))

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Text #15

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Data Index: 1617345 (Python Code)

Max Activating Token Index: 791

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Text #16

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Data Index: 1164616 (C4 (Web Text))

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Text #17

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Max Act: 0.8351. Min Act: -0.0000

Data Index: 544234 (C4 (Web Text))

Max Activating Token Index: 753

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Text #18

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Max Act: 0.8309. Min Act: -0.0000

Data Index: 1161475 (C4 (Web Text))

Max Activating Token Index: 754

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Text #19

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Data Index: 861371 (C4 (Web Text))

Max Activating Token Index: 2

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