Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 911 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0116. Min Act: -0.0005

Data Index: 1417025 (Python Code)

Max Activating Token Index: 622

Text #1

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Max Act: 0.0118. Min Act: -0.0005

Data Index: 1465272 (Python Code)

Max Activating Token Index: 535

Text #2

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Max Act: 0.0116. Min Act: -0.0005

Data Index: 1387576 (Python Code)

Max Activating Token Index: 949

Text #3

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Max Act: 0.0110. Min Act: -0.0006

Data Index: 1609912 (Python Code)

Max Activating Token Index: 380

Text #4

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Max Act: 0.0109. Min Act: -0.0006

Data Index: 1582107 (Python Code)

Max Activating Token Index: 205

Text #5

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Max Act: 0.0108. Min Act: -0.0006

Data Index: 1610040 (Python Code)

Max Activating Token Index: 194

Text #6

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Data Index: 1556755 (Python Code)

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Text #7

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Data Index: 1592197 (Python Code)

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Text #8

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Data Index: 1454182 (Python Code)

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Text #9

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Data Index: 1443765 (Python Code)

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Text #10

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Data Index: 1410749 (Python Code)

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Text #11

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Data Index: 1392992 (Python Code)

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Text #12

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Data Index: 1526129 (Python Code)

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Text #13

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Data Index: 1606154 (Python Code)

Max Activating Token Index: 76

Text #14

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Data Index: 1447749 (Python Code)

Max Activating Token Index: 403

Text #15

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Data Index: 1649017 (Python Code)

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Text #16

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Data Index: 1652996 (Python Code)

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Text #17

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Data Index: 1451198 (Python Code)

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Text #18

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Max Act: 0.0103. Min Act: -0.0006

Data Index: 752010 (C4 (Web Text))

Max Activating Token Index: 534

Text #19

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Max Act: 0.0103. Min Act: -0.0005

Data Index: 1568938 (Python Code)

Max Activating Token Index: 152