Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 870 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0580. Min Act: -0.0002

Data Index: 1048025 (C4 (Web Text))

Max Activating Token Index: 433

Text #1

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Max Act: 0.0489. Min Act: -0.0002

Data Index: 410441 (C4 (Web Text))

Max Activating Token Index: 922

Text #2

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Max Act: 0.0488. Min Act: -0.0002

Data Index: 714264 (C4 (Web Text))

Max Activating Token Index: 237

Text #3

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Max Act: 0.0453. Min Act: -0.0002

Data Index: 1048632 (C4 (Web Text))

Max Activating Token Index: 240

Text #4

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Max Act: 0.0467. Min Act: -0.0002

Data Index: 94903 (C4 (Web Text))

Max Activating Token Index: 740

Text #5

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Data Index: 459279 (C4 (Web Text))

Max Activating Token Index: 153

Text #6

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Max Activating Token Index: 630

Text #7

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Max Activating Token Index: 566

Text #8

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Data Index: 94507 (C4 (Web Text))

Max Activating Token Index: 501

Text #9

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Data Index: 111874 (C4 (Web Text))

Max Activating Token Index: 590

Text #10

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Max Activating Token Index: 69

Text #11

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Max Activating Token Index: 144

Text #12

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Max Activating Token Index: 494

Text #13

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Data Index: 1212136 (C4 (Web Text))

Max Activating Token Index: 317

Text #14

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Max Activating Token Index: 950

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 812

Text #18

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Data Index: 188443 (C4 (Web Text))

Max Activating Token Index: 858

Text #19

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Max Act: 0.0402. Min Act: -0.0002

Data Index: 655216 (C4 (Web Text))

Max Activating Token Index: 284