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

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

Neuron 2521 in Layer 1

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

Text #0

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Max Act: 0.0483. Min Act: -0.0003

Data Index: 1230350 (C4 (Web Text))

Max Activating Token Index: 90

Text #1

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Data Index: 422297 (C4 (Web Text))

Max Activating Token Index: 793

Text #2

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Max Act: 0.0475. Min Act: -0.0002

Data Index: 993984 (C4 (Web Text))

Max Activating Token Index: 487

Text #3

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Max Act: 0.0425. Min Act: -0.0002

Data Index: 264062 (C4 (Web Text))

Max Activating Token Index: 521

Text #4

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Max Act: 0.0453. Min Act: -0.0003

Data Index: 364863 (C4 (Web Text))

Max Activating Token Index: 110

Text #5

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Max Act: 0.0431. Min Act: -0.0003

Data Index: 327472 (C4 (Web Text))

Max Activating Token Index: 333

Text #6

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Max Activating Token Index: 666

Text #7

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Max Activating Token Index: 664

Text #8

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Max Activating Token Index: 116

Text #9

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Max Activating Token Index: 669

Text #10

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Max Activating Token Index: 286

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Max Activating Token Index: 829

Text #12

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Max Activating Token Index: 64

Text #13

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Max Activating Token Index: 391

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 724

Text #19

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Data Index: 1323612 (C4 (Web Text))

Max Activating Token Index: 380