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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1658 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



Text #0

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Max Act: 0.0378. Min Act: -0.0002

Data Index: 1589762 (Python Code)

Max Activating Token Index: 976

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Text #1

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Data Index: 1443405 (Python Code)

Max Activating Token Index: 785

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Text #2

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Max Act: 0.0382. Min Act: -0.0003

Data Index: 827584 (C4 (Web Text))

Max Activating Token Index: 923

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Text #3

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Data Index: 1608515 (Python Code)

Max Activating Token Index: 754

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Text #4

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Data Index: 1425690 (Python Code)

Max Activating Token Index: 734

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Text #5

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Data Index: 395833 (C4 (Web Text))

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Text #6

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Data Index: 1418218 (Python Code)

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Text #7

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Data Index: 1438638 (Python Code)

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Text #8

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Data Index: 1459293 (Python Code)

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Text #9

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Data Index: 1633133 (Python Code)

Max Activating Token Index: 870

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Text #10

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Data Index: 1565879 (Python Code)

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Text #11

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Text #12

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Data Index: 291410 (C4 (Web Text))

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Text #13

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Data Index: 1388173 (Python Code)

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Text #14

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Data Index: 1634832 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1479608 (Python Code)

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Text #18

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Data Index: 658994 (C4 (Web Text))

Max Activating Token Index: 785

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Text #19

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Data Index: 1495347 (Python Code)

Max Activating Token Index: 870

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