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

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

Neuron 1492 in Layer 2

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

Text #0

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Max Act: 0.0402. Min Act: -0.0004

Data Index: 195210 (C4 (Web Text))

Max Activating Token Index: 120

Text #1

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Max Act: 0.0395. Min Act: -0.0003

Data Index: 1139498 (C4 (Web Text))

Max Activating Token Index: 785

Text #2

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Max Act: 0.0415. Min Act: -0.0003

Data Index: 1066372 (C4 (Web Text))

Max Activating Token Index: 39

Text #3

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Max Act: 0.0403. Min Act: -0.0002

Data Index: 754116 (C4 (Web Text))

Max Activating Token Index: 442

Text #4

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Max Act: 0.0410. Min Act: -0.0003

Data Index: 1041047 (C4 (Web Text))

Max Activating Token Index: 276

Text #5

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Data Index: 1030523 (C4 (Web Text))

Max Activating Token Index: 251

Text #6

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Max Activating Token Index: 1016

Text #7

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Max Activating Token Index: 357

Text #8

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Max Activating Token Index: 714

Text #9

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Max Activating Token Index: 202

Text #10

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Data Index: 403733 (C4 (Web Text))

Max Activating Token Index: 137

Text #11

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Data Index: 150709 (C4 (Web Text))

Max Activating Token Index: 763

Text #12

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Max Activating Token Index: 560

Text #13

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Data Index: 52 (C4 (Web Text))

Max Activating Token Index: 289

Text #14

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Data Index: 344902 (C4 (Web Text))

Max Activating Token Index: 523

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 414

Text #18

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Max Activating Token Index: 929

Text #19

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Data Index: 816093 (C4 (Web Text))

Max Activating Token Index: 539