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

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

Neuron 1526 in Layer 9

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

Text #0

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Max Act: 0.1715. Min Act: -0.0000

Data Index: 1434276 (Python Code)

Max Activating Token Index: 428

Text #1

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Max Act: 0.1601. Min Act: -0.0000

Data Index: 861158 (C4 (Web Text))

Max Activating Token Index: 154

Text #2

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Max Act: 0.1592. Min Act: -0.0000

Data Index: 1493779 (Python Code)

Max Activating Token Index: 512

Text #3

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Max Act: 0.1395. Min Act: -0.0000

Data Index: 1453773 (Python Code)

Max Activating Token Index: 799

Text #4

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Max Act: 0.1292. Min Act: -0.0000

Data Index: 1585383 (Python Code)

Max Activating Token Index: 280

Text #5

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Data Index: 1631323 (Python Code)

Max Activating Token Index: 236

Text #6

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Data Index: 76179 (C4 (Web Text))

Max Activating Token Index: 313

Text #7

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Data Index: 1369115 (Python Code)

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Text #8

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Data Index: 1548235 (Python Code)

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Text #9

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Data Index: 1413898 (Python Code)

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Text #10

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Data Index: 1027214 (C4 (Web Text))

Max Activating Token Index: 767

Text #11

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Data Index: 868699 (C4 (Web Text))

Max Activating Token Index: 979

Text #12

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Data Index: 1455368 (Python Code)

Max Activating Token Index: 281

Text #13

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Data Index: 1033414 (C4 (Web Text))

Max Activating Token Index: 253

Text #14

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Data Index: 779711 (C4 (Web Text))

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Text #15

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Data Index: 1483355 (Python Code)

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Text #16

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Text #17

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Data Index: 1581653 (Python Code)

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Text #18

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Data Index: 1501912 (Python Code)

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Text #19

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Data Index: 1468523 (Python Code)

Max Activating Token Index: 277