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

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

Neuron 1537 in Layer 2

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

Text #0

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Max Act: 0.0223. Min Act: -0.0003

Data Index: 1169215 (C4 (Web Text))

Max Activating Token Index: 94

Text #1

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Data Index: 510565 (C4 (Web Text))

Max Activating Token Index: 227

Text #2

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Max Act: 0.0208. Min Act: -0.0003

Data Index: 449586 (C4 (Web Text))

Max Activating Token Index: 103

Text #3

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Max Act: 0.0204. Min Act: -0.0003

Data Index: 1332427 (C4 (Web Text))

Max Activating Token Index: 189

Text #4

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Max Act: 0.0186. Min Act: -0.0003

Data Index: 59146 (C4 (Web Text))

Max Activating Token Index: 596

Text #5

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Max Act: 0.0184. Min Act: -0.0003

Data Index: 120373 (C4 (Web Text))

Max Activating Token Index: 912

Text #6

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Data Index: 939807 (C4 (Web Text))

Max Activating Token Index: 125

Text #7

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Max Activating Token Index: 1004

Text #8

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Max Activating Token Index: 485

Text #9

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Data Index: 678741 (C4 (Web Text))

Max Activating Token Index: 103

Text #10

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Data Index: 151671 (C4 (Web Text))

Max Activating Token Index: 265

Text #11

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Data Index: 260091 (C4 (Web Text))

Max Activating Token Index: 900

Text #12

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Max Activating Token Index: 918

Text #13

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Data Index: 536681 (C4 (Web Text))

Max Activating Token Index: 799

Text #14

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Data Index: 841615 (C4 (Web Text))

Max Activating Token Index: 301

Text #15

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Text #16

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Max Activating Token Index: 752

Text #17

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Max Activating Token Index: 30

Text #18

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Max Activating Token Index: 592

Text #19

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Data Index: 1127981 (C4 (Web Text))

Max Activating Token Index: 142