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

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

Neuron 539 in Layer 1

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

Text #0

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Max Act: 0.0335. Min Act: -0.0003

Data Index: 819763 (C4 (Web Text))

Max Activating Token Index: 80

Text #1

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Data Index: 1073444 (C4 (Web Text))

Max Activating Token Index: 317

Text #2

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Max Act: 0.0325. Min Act: -0.0002

Data Index: 384674 (C4 (Web Text))

Max Activating Token Index: 119

Text #3

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Max Act: 0.0315. Min Act: -0.0002

Data Index: 1275123 (C4 (Web Text))

Max Activating Token Index: 392

Text #4

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Data Index: 656380 (C4 (Web Text))

Max Activating Token Index: 207

Text #5

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Max Act: 0.0276. Min Act: -0.0003

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Max Activating Token Index: 380

Text #6

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Text #7

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Max Activating Token Index: 726

Text #8

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Max Activating Token Index: 297

Text #9

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Text #10

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Max Activating Token Index: 40

Text #12

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Max Activating Token Index: 385

Text #13

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Max Activating Token Index: 272

Text #14

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Max Activating Token Index: 702

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 190

Text #18

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Max Activating Token Index: 475

Text #19

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Data Index: 590687 (C4 (Web Text))

Max Activating Token Index: 236