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

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

Neuron 1678 in Layer 0

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

Text #0

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Max Act: 0.0240. Min Act: -0.0002

Data Index: 503923 (C4 (Web Text))

Max Activating Token Index: 918

Text #1

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Max Act: 0.0200. Min Act: -0.0002

Data Index: 478429 (C4 (Web Text))

Max Activating Token Index: 582

Text #2

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 67007 (C4 (Web Text))

Max Activating Token Index: 50

Text #3

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 1052518 (C4 (Web Text))

Max Activating Token Index: 530

Text #4

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Max Act: 0.0179. Min Act: -0.0002

Data Index: 760838 (C4 (Web Text))

Max Activating Token Index: 846

Text #5

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Max Activating Token Index: 622

Text #6

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Max Activating Token Index: 971

Text #7

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Max Activating Token Index: 76

Text #8

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Data Index: 245314 (C4 (Web Text))

Max Activating Token Index: 823

Text #9

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Max Activating Token Index: 64

Text #10

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Data Index: 857369 (C4 (Web Text))

Max Activating Token Index: 437

Text #11

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Data Index: 445747 (C4 (Web Text))

Max Activating Token Index: 35

Text #12

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Max Activating Token Index: 417

Text #13

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Data Index: 1011263 (C4 (Web Text))

Max Activating Token Index: 89

Text #14

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Data Index: 92638 (C4 (Web Text))

Max Activating Token Index: 1015

Text #15

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Max Activating Token Index: 175

Text #16

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Max Activating Token Index: 533

Text #17

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Data Index: 154205 (C4 (Web Text))

Max Activating Token Index: 168

Text #18

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Data Index: 526621 (C4 (Web Text))

Max Activating Token Index: 86

Text #19

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Max Act: 0.0157. Min Act: -0.0002

Data Index: 714164 (C4 (Web Text))

Max Activating Token Index: 981