Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 615 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0761. Min Act: -0.0003

Data Index: 404818 (C4 (Web Text))

Max Activating Token Index: 668

Text #1

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Data Index: 439363 (C4 (Web Text))

Max Activating Token Index: 676

Text #2

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Max Act: 0.0598. Min Act: -0.0002

Data Index: 1279266 (C4 (Web Text))

Max Activating Token Index: 657

Text #3

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Max Act: 0.0584. Min Act: -0.0003

Data Index: 575546 (C4 (Web Text))

Max Activating Token Index: 389

Text #4

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Max Act: 0.0604. Min Act: -0.0002

Data Index: 1091545 (C4 (Web Text))

Max Activating Token Index: 331

Text #5

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Data Index: 357251 (C4 (Web Text))

Max Activating Token Index: 547

Text #6

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Max Activating Token Index: 399

Text #7

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Max Activating Token Index: 827

Text #8

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Max Activating Token Index: 182

Text #9

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Max Activating Token Index: 625

Text #10

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Max Activating Token Index: 802

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Max Activating Token Index: 971

Text #12

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Max Activating Token Index: 879

Text #13

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Max Activating Token Index: 254

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 440

Text #18

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Max Activating Token Index: 682

Text #19

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Data Index: 935795 (C4 (Web Text))

Max Activating Token Index: 510