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

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

Neuron 1218 in Layer 1

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

Text #0

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Max Act: 0.0729. Min Act: -0.0003

Data Index: 1465925 (Python Code)

Max Activating Token Index: 902

Text #1

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Max Act: 0.0605. Min Act: -0.0003

Data Index: 1619375 (Python Code)

Max Activating Token Index: 49

Text #2

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Max Act: 0.0595. Min Act: -0.0003

Data Index: 1621888 (Python Code)

Max Activating Token Index: 268

Text #3

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Max Act: 0.0563. Min Act: -0.0003

Data Index: 1410007 (Python Code)

Max Activating Token Index: 283

Text #4

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Max Act: 0.0556. Min Act: -0.0003

Data Index: 1617411 (Python Code)

Max Activating Token Index: 833

Text #5

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Data Index: 1609180 (Python Code)

Max Activating Token Index: 378

Text #6

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Data Index: 1101420 (C4 (Web Text))

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Text #7

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Data Index: 1456294 (Python Code)

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Text #8

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Data Index: 1510501 (Python Code)

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Text #9

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Data Index: 1378991 (Python Code)

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Text #10

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Data Index: 1588746 (Python Code)

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Data Index: 1438835 (Python Code)

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Text #12

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Data Index: 1604911 (Python Code)

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Text #13

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Data Index: 1514955 (Python Code)

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Text #14

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Data Index: 1444196 (Python Code)

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Text #15

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Data Index: 1375056 (Python Code)

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Text #16

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Data Index: 1392954 (Python Code)

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Text #17

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Data Index: 1566514 (Python Code)

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Text #18

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Data Index: 1527137 (Python Code)

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Text #19

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Max Act: 0.0521. Min Act: -0.0003

Data Index: 1634490 (Python Code)

Max Activating Token Index: 216