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

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

Neuron 1310 in Layer 1

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

Text #0

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Max Act: 0.0282. Min Act: -0.0003

Data Index: 523909 (C4 (Web Text))

Max Activating Token Index: 170

Text #1

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Max Act: 0.0273. Min Act: -0.0003

Data Index: 341585 (C4 (Web Text))

Max Activating Token Index: 767

Text #2

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Max Act: 0.0263. Min Act: -0.0003

Data Index: 176473 (C4 (Web Text))

Max Activating Token Index: 611

Text #3

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Max Act: 0.0252. Min Act: -0.0003

Data Index: 273918 (C4 (Web Text))

Max Activating Token Index: 201

Text #4

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Max Act: 0.0248. Min Act: -0.0002

Data Index: 215462 (C4 (Web Text))

Max Activating Token Index: 377

Text #5

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Max Act: 0.0249. Min Act: -0.0003

Data Index: 1247611 (C4 (Web Text))

Max Activating Token Index: 418

Text #6

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Data Index: 1152306 (C4 (Web Text))

Max Activating Token Index: 163

Text #7

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Data Index: 1034 (C4 (Web Text))

Max Activating Token Index: 297

Text #8

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Data Index: 740739 (C4 (Web Text))

Max Activating Token Index: 587

Text #9

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Data Index: 1198020 (C4 (Web Text))

Max Activating Token Index: 423

Text #10

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Max Activating Token Index: 44

Text #11

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Max Activating Token Index: 788

Text #12

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Data Index: 433647 (C4 (Web Text))

Max Activating Token Index: 104

Text #13

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Data Index: 47104 (C4 (Web Text))

Max Activating Token Index: 423

Text #14

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Max Activating Token Index: 574

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 76

Text #18

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Max Activating Token Index: 159

Text #19

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Data Index: 972437 (C4 (Web Text))

Max Activating Token Index: 913