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

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

Neuron 1828 in Layer 1

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

Text #0

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Max Act: 0.0588. Min Act: -0.0003

Data Index: 561740 (C4 (Web Text))

Max Activating Token Index: 205

Text #1

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Max Act: 0.0454. Min Act: -0.0003

Data Index: 1298650 (C4 (Web Text))

Max Activating Token Index: 1000

Text #2

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Max Act: 0.0422. Min Act: -0.0004

Data Index: 304216 (C4 (Web Text))

Max Activating Token Index: 258

Text #3

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Max Act: 0.0411. Min Act: -0.0004

Data Index: 923545 (C4 (Web Text))

Max Activating Token Index: 161

Text #4

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Max Act: 0.0395. Min Act: -0.0004

Data Index: 814876 (C4 (Web Text))

Max Activating Token Index: 74

Text #5

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Max Act: 0.0384. Min Act: -0.0003

Data Index: 188443 (C4 (Web Text))

Max Activating Token Index: 434

Text #6

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Text #7

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Text #8

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Data Index: 233703 (C4 (Web Text))

Max Activating Token Index: 342

Text #9

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Max Activating Token Index: 415

Text #10

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Max Activating Token Index: 530

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Text #12

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Max Activating Token Index: 456

Text #13

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Data Index: 228740 (C4 (Web Text))

Max Activating Token Index: 87

Text #14

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Max Activating Token Index: 779

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 334

Text #18

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Data Index: 396115 (C4 (Web Text))

Max Activating Token Index: 868

Text #19

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Data Index: 793402 (C4 (Web Text))

Max Activating Token Index: 425