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

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

Neuron 3611 in Layer 5

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

Text #0

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Max Act: 0.3563. Min Act: -0.0001

Data Index: 1042361 (C4 (Web Text))

Max Activating Token Index: 980

Text #1

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Data Index: 1057491 (C4 (Web Text))

Max Activating Token Index: 1004

Text #2

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Max Act: 0.2749. Min Act: -0.0000

Data Index: 1642194 (Python Code)

Max Activating Token Index: 735

Text #3

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Max Act: 0.2755. Min Act: -0.0001

Data Index: 260282 (C4 (Web Text))

Max Activating Token Index: 31

Text #4

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Data Index: 1410387 (Python Code)

Max Activating Token Index: 50

Text #5

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Data Index: 1497099 (Python Code)

Max Activating Token Index: 67

Text #6

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Data Index: 1517535 (Python Code)

Max Activating Token Index: 268

Text #7

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Data Index: 1387765 (Python Code)

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Text #8

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Data Index: 1445598 (Python Code)

Max Activating Token Index: 109

Text #9

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Data Index: 1579629 (Python Code)

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Text #10

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Data Index: 1382854 (Python Code)

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Text #11

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Data Index: 1608960 (Python Code)

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Text #12

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Data Index: 1431627 (Python Code)

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Text #13

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Data Index: 1262078 (C4 (Web Text))

Max Activating Token Index: 296

Text #14

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Data Index: 1376237 (Python Code)

Max Activating Token Index: 772

Text #15

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Data Index: 1392262 (Python Code)

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Text #16

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Data Index: 1428106 (Python Code)

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Text #17

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Data Index: 1504341 (Python Code)

Max Activating Token Index: 377

Text #18

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Data Index: 699473 (C4 (Web Text))

Max Activating Token Index: 54

Text #19

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Data Index: 1604155 (Python Code)

Max Activating Token Index: 83