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

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

Neuron 3761 in Layer 9

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

Text #0

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Max Act: 0.2318. Min Act: -0.0000

Data Index: 1498698 (Python Code)

Max Activating Token Index: 254

Text #1

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Max Act: 0.1933. Min Act: -0.0000

Data Index: 1452083 (Python Code)

Max Activating Token Index: 314

Text #2

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Max Act: 0.1748. Min Act: -0.0000

Data Index: 1606945 (Python Code)

Max Activating Token Index: 633

Text #3

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Max Act: 0.1809. Min Act: -0.0000

Data Index: 1480136 (Python Code)

Max Activating Token Index: 476

Text #4

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Max Act: 0.1660. Min Act: -0.0000

Data Index: 1397012 (Python Code)

Max Activating Token Index: 446

Text #5

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Max Act: 0.1616. Min Act: -0.0000

Data Index: 1484233 (Python Code)

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Text #6

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Data Index: 1393102 (Python Code)

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Text #7

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Data Index: 1616635 (Python Code)

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Text #8

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Data Index: 1395514 (Python Code)

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Text #9

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Data Index: 1571507 (Python Code)

Max Activating Token Index: 601

Text #10

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Data Index: 1598636 (Python Code)

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Text #11

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Data Index: 1476363 (Python Code)

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Text #12

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Data Index: 1365671 (Python Code)

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Text #13

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Data Index: 1531588 (Python Code)

Max Activating Token Index: 932

Text #14

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Data Index: 1582187 (Python Code)

Max Activating Token Index: 386

Text #15

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Data Index: 1522277 (Python Code)

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Text #16

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Data Index: 1553448 (Python Code)

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Text #17

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Data Index: 1628676 (Python Code)

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Text #18

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Data Index: 1587217 (Python Code)

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Text #19

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Data Index: 1467327 (Python Code)

Max Activating Token Index: 690