Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1532 in Layer 7

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.2415. Min Range: -0.2415

Max Act: 0.2349. Min Act: -0.0001

Data Index: 1562339 (Python Code)

Max Activating Token Index: 23

Text #1

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Max Act: 0.2415. Min Act: -0.0001

Data Index: 1613417 (Python Code)

Max Activating Token Index: 26

Text #2

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Max Act: 0.2285. Min Act: -0.0001

Data Index: 1581747 (Python Code)

Max Activating Token Index: 30

Text #3

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Max Act: 0.2301. Min Act: -0.0001

Data Index: 1630222 (Python Code)

Max Activating Token Index: 232

Text #4

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Data Index: 1574257 (Python Code)

Max Activating Token Index: 298

Text #5

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Data Index: 1070903 (C4 (Web Text))

Max Activating Token Index: 638

Text #6

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Data Index: 1466759 (Python Code)

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Text #7

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Data Index: 1577357 (Python Code)

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Text #8

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Data Index: 77508 (C4 (Web Text))

Max Activating Token Index: 554

Text #9

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Data Index: 1573005 (Python Code)

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Text #10

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Data Index: 1363951 (Python Code)

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Data Index: 1542840 (Python Code)

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Text #12

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Data Index: 17122 (C4 (Web Text))

Max Activating Token Index: 358

Text #13

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Data Index: 376405 (C4 (Web Text))

Max Activating Token Index: 636

Text #14

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Data Index: 1447084 (Python Code)

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Text #15

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Data Index: 1487377 (Python Code)

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Text #16

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Data Index: 1476435 (Python Code)

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Text #17

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Data Index: 1607834 (Python Code)

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Text #18

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Data Index: 1388535 (Python Code)

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Text #19

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Max Act: 0.2133. Min Act: -0.0001

Data Index: 1463239 (Python Code)

Max Activating Token Index: 109