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

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

Neuron 3392 in Layer 0

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

Text #0

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Max Act: 0.0132. Min Act: -0.0002

Data Index: 740882 (C4 (Web Text))

Max Activating Token Index: 159

Text #1

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Max Act: 0.0108. Min Act: -0.0002

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Max Activating Token Index: 23

Text #2

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Max Act: 0.0105. Min Act: -0.0002

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Max Activating Token Index: 1003

Text #3

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Max Act: 0.0105. Min Act: -0.0002

Data Index: 297318 (C4 (Web Text))

Max Activating Token Index: 795

Text #4

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Data Index: 1028474 (C4 (Web Text))

Max Activating Token Index: 631

Text #5

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Max Activating Token Index: 108

Text #6

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Data Index: 32961 (C4 (Web Text))

Max Activating Token Index: 800

Text #7

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Max Activating Token Index: 446

Text #8

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Max Activating Token Index: 239

Text #9

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Max Activating Token Index: 143

Text #10

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Data Index: 540310 (C4 (Web Text))

Max Activating Token Index: 112

Text #11

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Max Activating Token Index: 87

Text #12

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Max Activating Token Index: 675

Text #13

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Data Index: 491679 (C4 (Web Text))

Max Activating Token Index: 870

Text #14

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Max Activating Token Index: 681

Text #15

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Max Activating Token Index: 83

Text #16

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Max Activating Token Index: 309

Text #17

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Max Activating Token Index: 330

Text #18

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Max Activating Token Index: 150

Text #19

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Data Index: 229115 (C4 (Web Text))

Max Activating Token Index: 465