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

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

Neuron 68 in Layer 1

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

Text #0

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Max Act: 0.0701. Min Act: -0.0003

Data Index: 1436580 (Python Code)

Max Activating Token Index: 607

Text #1

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Max Act: 0.0657. Min Act: -0.0003

Data Index: 1449965 (Python Code)

Max Activating Token Index: 237

Text #2

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Max Act: 0.0675. Min Act: -0.0003

Data Index: 1561411 (Python Code)

Max Activating Token Index: 947

Text #3

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Max Act: 0.0648. Min Act: -0.0003

Data Index: 1507277 (Python Code)

Max Activating Token Index: 674

Text #4

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Max Act: 0.0652. Min Act: -0.0003

Data Index: 1408947 (Python Code)

Max Activating Token Index: 58

Text #5

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Max Act: 0.0639. Min Act: -0.0003

Data Index: 1459780 (Python Code)

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Text #6

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Data Index: 1645734 (Python Code)

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Text #7

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Data Index: 1530888 (Python Code)

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Text #8

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Data Index: 1537383 (Python Code)

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Data Index: 1563974 (Python Code)

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Text #10

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Data Index: 1413660 (Python Code)

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Text #11

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Data Index: 1637498 (Python Code)

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Text #12

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Data Index: 1514307 (Python Code)

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Text #13

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Data Index: 1416446 (Python Code)

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Text #14

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Data Index: 1366022 (Python Code)

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Text #15

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Data Index: 1626776 (Python Code)

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Text #16

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Data Index: 1623492 (Python Code)

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Text #17

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Data Index: 1384388 (Python Code)

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Text #18

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Data Index: 1369572 (Python Code)

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Text #19

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Data Index: 1519754 (Python Code)

Max Activating Token Index: 269