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

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

Neuron 3899 in Layer 1

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

Text #0

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Max Act: 0.0342. Min Act: -0.0003

Data Index: 626029 (C4 (Web Text))

Max Activating Token Index: 94

Text #1

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Data Index: 1143789 (C4 (Web Text))

Max Activating Token Index: 78

Text #2

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Max Act: 0.0317. Min Act: -0.0003

Data Index: 790108 (C4 (Web Text))

Max Activating Token Index: 24

Text #3

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 17430 (C4 (Web Text))

Max Activating Token Index: 126

Text #4

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Data Index: 1149173 (C4 (Web Text))

Max Activating Token Index: 934

Text #5

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Max Act: 0.0288. Min Act: -0.0003

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Max Activating Token Index: 950

Text #6

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Max Activating Token Index: 835

Text #7

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Max Activating Token Index: 331

Text #8

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Max Activating Token Index: 934

Text #9

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Max Activating Token Index: 960

Text #10

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Data Index: 819707 (C4 (Web Text))

Max Activating Token Index: 147

Text #11

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Data Index: 417244 (C4 (Web Text))

Max Activating Token Index: 89

Text #12

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Max Activating Token Index: 408

Text #13

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Max Activating Token Index: 468

Text #14

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Max Activating Token Index: 124

Text #15

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Text #16

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Max Activating Token Index: 684

Text #17

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Max Activating Token Index: 325

Text #18

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Max Activating Token Index: 551

Text #19

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Data Index: 684282 (C4 (Web Text))

Max Activating Token Index: 433