Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 293 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0490. Min Act: -0.0003

Data Index: 84160 (C4 (Web Text))

Max Activating Token Index: 599

Text #1

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Max Act: 0.0445. Min Act: -0.0003

Data Index: 282467 (C4 (Web Text))

Max Activating Token Index: 257

Text #2

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Max Act: 0.0446. Min Act: -0.0003

Data Index: 213159 (C4 (Web Text))

Max Activating Token Index: 672

Text #3

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Max Act: 0.0450. Min Act: -0.0003

Data Index: 1320216 (C4 (Web Text))

Max Activating Token Index: 934

Text #4

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Max Act: 0.0431. Min Act: -0.0003

Data Index: 1153028 (C4 (Web Text))

Max Activating Token Index: 889

Text #5

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Max Act: 0.0408. Min Act: -0.0002

Data Index: 1559627 (Python Code)

Max Activating Token Index: 665

Text #6

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Max Act: 0.0412. Min Act: -0.0003

Data Index: 62598 (C4 (Web Text))

Max Activating Token Index: 408

Text #7

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Max Activating Token Index: 461

Text #8

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Data Index: 1302169 (C4 (Web Text))

Max Activating Token Index: 93

Text #9

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Data Index: 477498 (C4 (Web Text))

Max Activating Token Index: 783

Text #10

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Max Activating Token Index: 519

Text #11

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Max Activating Token Index: 227

Text #12

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Max Activating Token Index: 859

Text #13

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Data Index: 746360 (C4 (Web Text))

Max Activating Token Index: 772

Text #14

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Data Index: 1270635 (C4 (Web Text))

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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: 974

Text #18

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Data Index: 667457 (C4 (Web Text))

Max Activating Token Index: 626

Text #19

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Max Act: 0.0383. Min Act: -0.0003

Data Index: 1178690 (C4 (Web Text))

Max Activating Token Index: 705