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

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

Neuron 107 in Layer 1

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

Text #0

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Max Act: 0.0449. Min Act: -0.0003

Data Index: 1201325 (C4 (Web Text))

Max Activating Token Index: 107

Text #1

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Max Act: 0.0387. Min Act: -0.0003

Data Index: 1017560 (C4 (Web Text))

Max Activating Token Index: 48

Text #2

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 315490 (C4 (Web Text))

Max Activating Token Index: 47

Text #3

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Max Act: 0.0352. Min Act: -0.0003

Data Index: 530623 (C4 (Web Text))

Max Activating Token Index: 222

Text #4

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Data Index: 751737 (C4 (Web Text))

Max Activating Token Index: 814

Text #5

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Data Index: 334424 (C4 (Web Text))

Max Activating Token Index: 229

Text #6

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Data Index: 605899 (C4 (Web Text))

Max Activating Token Index: 227

Text #7

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Data Index: 1051232 (C4 (Web Text))

Max Activating Token Index: 66

Text #8

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Data Index: 504299 (C4 (Web Text))

Max Activating Token Index: 70

Text #9

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Data Index: 841793 (C4 (Web Text))

Max Activating Token Index: 293

Text #10

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Data Index: 318012 (C4 (Web Text))

Max Activating Token Index: 165

Text #11

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Max Activating Token Index: 57

Text #12

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Data Index: 22627 (C4 (Web Text))

Max Activating Token Index: 204

Text #13

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Data Index: 649109 (C4 (Web Text))

Max Activating Token Index: 148

Text #14

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Max Activating Token Index: 873

Text #15

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Text #16

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Max Activating Token Index: 136

Text #17

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Max Activating Token Index: 47

Text #18

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Max Activating Token Index: 512

Text #19

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Data Index: 588018 (C4 (Web Text))

Max Activating Token Index: 338