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

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

Neuron 1060 in Layer 4

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

Text #0

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Max Act: 0.1206. Min Act: -0.0001

Data Index: 743120 (C4 (Web Text))

Max Activating Token Index: 526

Text #1

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Max Act: 0.1195. Min Act: -0.0001

Data Index: 538229 (C4 (Web Text))

Max Activating Token Index: 900

Text #2

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Data Index: 605610 (C4 (Web Text))

Max Activating Token Index: 553

Text #3

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Max Act: 0.1206. Min Act: -0.0001

Data Index: 674129 (C4 (Web Text))

Max Activating Token Index: 588

Text #4

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Data Index: 417892 (C4 (Web Text))

Max Activating Token Index: 731

Text #5

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Max Act: 0.1145. Min Act: -0.0001

Data Index: 950262 (C4 (Web Text))

Max Activating Token Index: 774

Text #6

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Max Activating Token Index: 748

Text #7

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Text #8

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Max Activating Token Index: 881

Text #9

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Data Index: 376329 (C4 (Web Text))

Max Activating Token Index: 654

Text #10

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Data Index: 896023 (C4 (Web Text))

Max Activating Token Index: 1010

Text #11

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Data Index: 82031 (C4 (Web Text))

Max Activating Token Index: 392

Text #12

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Data Index: 1295016 (C4 (Web Text))

Max Activating Token Index: 853

Text #13

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Data Index: 243220 (C4 (Web Text))

Max Activating Token Index: 880

Text #14

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Data Index: 922873 (C4 (Web Text))

Max Activating Token Index: 619

Text #15

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Text #16

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Text #17

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Data Index: 23609 (C4 (Web Text))

Max Activating Token Index: 399

Text #18

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Max Activating Token Index: 803

Text #19

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Data Index: 67322 (C4 (Web Text))

Max Activating Token Index: 169