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

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

Neuron 2787 in Layer 0

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

Text #0

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Max Act: 0.0133. Min Act: -0.0002

Data Index: 1532011 (Python Code)

Max Activating Token Index: 691

Text #1

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Max Act: 0.0132. Min Act: -0.0002

Data Index: 1412727 (Python Code)

Max Activating Token Index: 275

Text #2

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Max Act: 0.0128. Min Act: -0.0002

Data Index: 1508762 (Python Code)

Max Activating Token Index: 205

Text #3

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Max Act: 0.0130. Min Act: -0.0002

Data Index: 1457775 (Python Code)

Max Activating Token Index: 262

Text #4

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Max Act: 0.0127. Min Act: -0.0002

Data Index: 1369480 (Python Code)

Max Activating Token Index: 118

Text #5

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Max Act: 0.0128. Min Act: -0.0002

Data Index: 1615031 (Python Code)

Max Activating Token Index: 303

Text #6

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Data Index: 1491571 (Python Code)

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Text #7

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Data Index: 1538503 (Python Code)

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Text #8

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Data Index: 1617131 (Python Code)

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Text #9

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Data Index: 1468032 (Python Code)

Max Activating Token Index: 574

Text #10

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Data Index: 1512623 (Python Code)

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Text #11

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Data Index: 1409294 (Python Code)

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Text #12

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Data Index: 1656342 (Python Code)

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Text #13

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Data Index: 1638994 (Python Code)

Max Activating Token Index: 234

Text #14

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Data Index: 1518465 (Python Code)

Max Activating Token Index: 98

Text #15

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Data Index: 1381137 (Python Code)

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Text #16

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Data Index: 1561994 (Python Code)

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Text #17

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Data Index: 1520584 (Python Code)

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Text #18

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Data Index: 1479014 (Python Code)

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Text #19

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Data Index: 1608777 (Python Code)

Max Activating Token Index: 260