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

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

Neuron 552 in Layer 2

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

Text #0

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Max Act: 0.0511. Min Act: -0.0005

Data Index: 517667 (C4 (Web Text))

Max Activating Token Index: 800

Text #1

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Max Act: 0.0493. Min Act: -0.0005

Data Index: 281309 (C4 (Web Text))

Max Activating Token Index: 941

Text #2

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Max Act: 0.0456. Min Act: -0.0005

Data Index: 1009927 (C4 (Web Text))

Max Activating Token Index: 919

Text #3

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Max Act: 0.0490. Min Act: -0.0005

Data Index: 1115821 (C4 (Web Text))

Max Activating Token Index: 530

Text #4

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Max Act: 0.0469. Min Act: -0.0005

Data Index: 908142 (C4 (Web Text))

Max Activating Token Index: 204

Text #5

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Data Index: 574521 (C4 (Web Text))

Max Activating Token Index: 701

Text #6

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Max Activating Token Index: 1014

Text #7

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Max Activating Token Index: 313

Text #8

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Max Activating Token Index: 22

Text #9

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Max Activating Token Index: 737

Text #10

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Max Activating Token Index: 231

Text #11

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Max Activating Token Index: 426

Text #12

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Data Index: 1463019 (Python Code)

Max Activating Token Index: 252

Text #13

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Data Index: 1052175 (C4 (Web Text))

Max Activating Token Index: 253

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: 556

Text #18

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Data Index: 10995 (C4 (Web Text))

Max Activating Token Index: 444

Text #19

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Data Index: 178401 (C4 (Web Text))

Max Activating Token Index: 827