Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 791 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0847. Min Act: -0.0002

Data Index: 1236087 (C4 (Web Text))

Max Activating Token Index: 392

Text #1

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Max Act: 0.0825. Min Act: -0.0002

Data Index: 814239 (C4 (Web Text))

Max Activating Token Index: 960

Text #2

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Max Act: 0.0777. Min Act: -0.0002

Data Index: 1353642 (C4 (Web Text))

Max Activating Token Index: 131

Text #3

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Max Act: 0.0822. Min Act: -0.0002

Data Index: 890014 (C4 (Web Text))

Max Activating Token Index: 99

Text #4

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Max Act: 0.0784. Min Act: -0.0002

Data Index: 984306 (C4 (Web Text))

Max Activating Token Index: 598

Text #5

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Max Act: 0.0743. Min Act: -0.0002

Data Index: 385815 (C4 (Web Text))

Max Activating Token Index: 347

Text #6

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Data Index: 416721 (C4 (Web Text))

Max Activating Token Index: 513

Text #7

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Data Index: 386836 (C4 (Web Text))

Max Activating Token Index: 720

Text #8

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Data Index: 502358 (C4 (Web Text))

Max Activating Token Index: 833

Text #9

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Data Index: 760066 (C4 (Web Text))

Max Activating Token Index: 901

Text #10

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Data Index: 503355 (C4 (Web Text))

Max Activating Token Index: 939

Text #11

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Data Index: 570125 (C4 (Web Text))

Max Activating Token Index: 793

Text #12

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Data Index: 127675 (C4 (Web Text))

Max Activating Token Index: 122

Text #13

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Data Index: 870781 (C4 (Web Text))

Max Activating Token Index: 487

Text #14

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Data Index: 534498 (C4 (Web Text))

Max Activating Token Index: 1009

Text #15

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Max Activating Token Index: 746

Text #16

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Max Activating Token Index: 257

Text #17

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Data Index: 887041 (C4 (Web Text))

Max Activating Token Index: 501

Text #18

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Data Index: 920473 (C4 (Web Text))

Max Activating Token Index: 273

Text #19

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Data Index: 976997 (C4 (Web Text))

Max Activating Token Index: 1003