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

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

Neuron 793 in Layer 1

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

Text #0

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Max Act: 0.0767. Min Act: -0.0003

Data Index: 710884 (C4 (Web Text))

Max Activating Token Index: 460

Text #1

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Data Index: 981374 (C4 (Web Text))

Max Activating Token Index: 192

Text #2

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Max Act: 0.0644. Min Act: -0.0003

Data Index: 597268 (C4 (Web Text))

Max Activating Token Index: 759

Text #3

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Max Act: 0.0662. Min Act: -0.0003

Data Index: 337298 (C4 (Web Text))

Max Activating Token Index: 761

Text #4

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Max Act: 0.0633. Min Act: -0.0003

Data Index: 1092130 (C4 (Web Text))

Max Activating Token Index: 762

Text #5

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Data Index: 288968 (C4 (Web Text))

Max Activating Token Index: 846

Text #6

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Data Index: 249258 (C4 (Web Text))

Max Activating Token Index: 808

Text #7

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Max Activating Token Index: 966

Text #8

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Max Activating Token Index: 974

Text #9

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Data Index: 214184 (C4 (Web Text))

Max Activating Token Index: 800

Text #10

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Data Index: 82125 (C4 (Web Text))

Max Activating Token Index: 54

Text #11

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Data Index: 686396 (C4 (Web Text))

Max Activating Token Index: 549

Text #12

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Data Index: 262951 (C4 (Web Text))

Max Activating Token Index: 506

Text #13

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Data Index: 615633 (C4 (Web Text))

Max Activating Token Index: 259

Text #14

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Data Index: 383032 (C4 (Web Text))

Max Activating Token Index: 539

Text #15

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Max Activating Token Index: 731

Text #16

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Max Activating Token Index: 420

Text #17

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Max Activating Token Index: 991

Text #18

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Data Index: 488625 (C4 (Web Text))

Max Activating Token Index: 751

Text #19

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Max Act: 0.0501. Min Act: -0.0003

Data Index: 182690 (C4 (Web Text))

Max Activating Token Index: 596