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

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

Neuron 1276 in Layer 1

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



Text #0

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Max Act: 0.0384. Min Act: -0.0003

Data Index: 1478799 (Python Code)

Max Activating Token Index: 644

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Text #1

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Max Act: 0.0384. Min Act: -0.0003

Data Index: 1490042 (Python Code)

Max Activating Token Index: 659

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Text #2

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Max Act: 0.0396. Min Act: -0.0003

Data Index: 345167 (C4 (Web Text))

Max Activating Token Index: 311

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Text #3

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Max Act: 0.0358. Min Act: -0.0003

Data Index: 51793 (C4 (Web Text))

Max Activating Token Index: 763

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Text #4

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Data Index: 1543118 (Python Code)

Max Activating Token Index: 825

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Text #5

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Max Act: 0.0388. Min Act: -0.0003

Data Index: 1645712 (Python Code)

Max Activating Token Index: 391

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Text #6

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Data Index: 1570539 (Python Code)

Max Activating Token Index: 18

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Text #7

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Data Index: 1539954 (Python Code)

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Text #8

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Data Index: 1625509 (Python Code)

Max Activating Token Index: 760

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Text #9

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Data Index: 1587006 (Python Code)

Max Activating Token Index: 837

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Text #10

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Data Index: 1481782 (Python Code)

Max Activating Token Index: 793

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Text #11

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Data Index: 1589997 (Python Code)

Max Activating Token Index: 605

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Text #12

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Data Index: 1512462 (Python Code)

Max Activating Token Index: 649

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Text #13

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Data Index: 1557767 (Python Code)

Max Activating Token Index: 675

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Text #14

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Data Index: 1506346 (Python Code)

Max Activating Token Index: 408

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Text #15

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Data Index: 1441792 (Python Code)

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Text #16

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Data Index: 1600575 (Python Code)

Max Activating Token Index: 556

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Text #17

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Data Index: 1486621 (Python Code)

Max Activating Token Index: 839

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Text #18

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Data Index: 1524949 (Python Code)

Max Activating Token Index: 520

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Text #19

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Max Act: 0.0372. Min Act: -0.0003

Data Index: 1433307 (Python Code)

Max Activating Token Index: 645

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