Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1351 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0073. Min Act: -0.0003

Data Index: 943639 (C4 (Web Text))

Max Activating Token Index: 87

Text #1

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Max Act: 0.0071. Min Act: -0.0003

Data Index: 376335 (C4 (Web Text))

Max Activating Token Index: 1009

Text #2

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Max Act: 0.0067. Min Act: -0.0003

Data Index: 416856 (C4 (Web Text))

Max Activating Token Index: 164

Text #3

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Max Act: 0.0067. Min Act: -0.0004

Data Index: 1276030 (C4 (Web Text))

Max Activating Token Index: 1016

Text #4

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Max Act: 0.0064. Min Act: -0.0004

Data Index: 494399 (C4 (Web Text))

Max Activating Token Index: 869

Text #5

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Max Act: 0.0064. Min Act: -0.0003

Data Index: 501010 (C4 (Web Text))

Max Activating Token Index: 944

Text #6

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Data Index: 431344 (C4 (Web Text))

Max Activating Token Index: 272

Text #7

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Data Index: 143069 (C4 (Web Text))

Max Activating Token Index: 155

Text #8

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Data Index: 1195397 (C4 (Web Text))

Max Activating Token Index: 449

Text #9

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Max Act: 0.0063. Min Act: -0.0003

Data Index: 895002 (C4 (Web Text))

Max Activating Token Index: 385

Text #10

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Data Index: 1307597 (C4 (Web Text))

Max Activating Token Index: 760

Text #11

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Data Index: 473250 (C4 (Web Text))

Max Activating Token Index: 109

Text #12

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Max Activating Token Index: 74

Text #13

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Data Index: 117787 (C4 (Web Text))

Max Activating Token Index: 41

Text #14

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Data Index: 316700 (C4 (Web Text))

Max Activating Token Index: 47

Text #15

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Max Activating Token Index: 389

Text #16

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Max Activating Token Index: 551

Text #17

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Max Activating Token Index: 746

Text #18

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Max Activating Token Index: 703

Text #19

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Max Act: 0.0060. Min Act: -0.0004

Data Index: 727744 (C4 (Web Text))

Max Activating Token Index: 401