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

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

Neuron 1273 in Layer 1

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

Text #0

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Max Act: 0.0484. Min Act: -0.0003

Data Index: 205523 (C4 (Web Text))

Max Activating Token Index: 353

Text #1

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Data Index: 848374 (C4 (Web Text))

Max Activating Token Index: 129

Text #2

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Max Act: 0.0432. Min Act: -0.0003

Data Index: 1172427 (C4 (Web Text))

Max Activating Token Index: 490

Text #3

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Max Act: 0.0417. Min Act: -0.0003

Data Index: 390761 (C4 (Web Text))

Max Activating Token Index: 592

Text #4

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Max Act: 0.0415. Min Act: -0.0003

Data Index: 1289808 (C4 (Web Text))

Max Activating Token Index: 413

Text #5

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Data Index: 1044360 (C4 (Web Text))

Max Activating Token Index: 334

Text #6

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Max Activating Token Index: 642

Text #7

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Max Activating Token Index: 539

Text #8

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Max Activating Token Index: 498

Text #9

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Text #10

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Data Index: 19198 (C4 (Web Text))

Max Activating Token Index: 271

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Max Activating Token Index: 235

Text #12

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Max Activating Token Index: 449

Text #13

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Max Activating Token Index: 860

Text #14

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Max Activating Token Index: 138

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 591

Text #18

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Max Activating Token Index: 293

Text #19

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Data Index: 52643 (C4 (Web Text))

Max Activating Token Index: 42