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

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

Neuron 1147 in Layer 1

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



Text #0

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Max Act: 0.0395. Min Act: -0.0002

Data Index: 1447097 (Python Code)

Max Activating Token Index: 20

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Text #1

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Max Act: 0.0379. Min Act: -0.0002

Data Index: 1394698 (Python Code)

Max Activating Token Index: 76

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Text #2

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Max Act: 0.0373. Min Act: -0.0002

Data Index: 1456292 (Python Code)

Max Activating Token Index: 301

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Text #3

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Max Act: 0.0367. Min Act: -0.0003

Data Index: 1427980 (Python Code)

Max Activating Token Index: 517

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Text #4

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Data Index: 1566347 (Python Code)

Max Activating Token Index: 457

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Text #5

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Data Index: 1372325 (Python Code)

Max Activating Token Index: 43

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Text #6

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Data Index: 1441252 (Python Code)

Max Activating Token Index: 136

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Text #7

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Data Index: 1506848 (Python Code)

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Text #8

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Data Index: 1380661 (Python Code)

Max Activating Token Index: 440

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Text #9

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Data Index: 1476852 (Python Code)

Max Activating Token Index: 594

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Text #10

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Data Index: 1642969 (Python Code)

Max Activating Token Index: 589

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Text #11

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Data Index: 555933 (C4 (Web Text))

Max Activating Token Index: 496

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Text #12

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Data Index: 1593342 (Python Code)

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Text #13

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Data Index: 1564716 (Python Code)

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Text #14

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Data Index: 1497548 (Python Code)

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Text #15

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Data Index: 1087659 (C4 (Web Text))

Max Activating Token Index: 484

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Text #16

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Data Index: 1653672 (Python Code)

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Text #17

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Data Index: 1574668 (Python Code)

Max Activating Token Index: 347

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Text #18

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Data Index: 1533858 (Python Code)

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Text #19

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Data Index: 1380213 (Python Code)

Max Activating Token Index: 327

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