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

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

Neuron 2699 in Layer 0

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

Text #0

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Max Act: 0.0159. Min Act: -0.0002

Data Index: 1495090 (Python Code)

Max Activating Token Index: 17

Text #1

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Max Act: 0.0149. Min Act: -0.0001

Data Index: 1565175 (Python Code)

Max Activating Token Index: 4

Text #2

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 1630077 (Python Code)

Max Activating Token Index: 33

Text #3

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Max Act: 0.0133. Min Act: -0.0002

Data Index: 1422778 (Python Code)

Max Activating Token Index: 217

Text #4

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Max Act: 0.0133. Min Act: -0.0002

Data Index: 1626285 (Python Code)

Max Activating Token Index: 46

Text #5

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Data Index: 1482667 (Python Code)

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Text #6

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Data Index: 1642975 (Python Code)

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Text #7

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Data Index: 1583376 (Python Code)

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Text #8

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Data Index: 1615884 (Python Code)

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Text #9

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Data Index: 1521848 (Python Code)

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Text #10

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Data Index: 1369075 (Python Code)

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Text #11

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Data Index: 1444319 (Python Code)

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Text #12

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Data Index: 1600974 (Python Code)

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Text #13

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Data Index: 1643548 (Python Code)

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Text #14

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Data Index: 1540717 (Python Code)

Max Activating Token Index: 350

Text #15

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Data Index: 1609244 (Python Code)

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Text #16

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Data Index: 1647400 (Python Code)

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Text #17

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Data Index: 1581368 (Python Code)

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Text #18

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Data Index: 1542376 (Python Code)

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Text #19

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Data Index: 1368133 (Python Code)

Max Activating Token Index: 18