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

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

Neuron 1959 in Layer 0

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

Text #0

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Max Act: 0.0396. Min Act: -0.0004

Data Index: 73586 (C4 (Web Text))

Max Activating Token Index: 19

Text #1

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Max Act: 0.0357. Min Act: -0.0004

Data Index: 543560 (C4 (Web Text))

Max Activating Token Index: 599

Text #2

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Max Act: 0.0335. Min Act: -0.0004

Data Index: 3807 (C4 (Web Text))

Max Activating Token Index: 540

Text #3

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Max Act: 0.0342. Min Act: -0.0004

Data Index: 776804 (C4 (Web Text))

Max Activating Token Index: 390

Text #4

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Data Index: 1135280 (C4 (Web Text))

Max Activating Token Index: 741

Text #5

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Data Index: 1032559 (C4 (Web Text))

Max Activating Token Index: 685

Text #6

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Max Activating Token Index: 44

Text #7

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Max Activating Token Index: 693

Text #8

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Max Activating Token Index: 253

Text #9

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Data Index: 49478 (C4 (Web Text))

Max Activating Token Index: 840

Text #10

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Data Index: 1254188 (C4 (Web Text))

Max Activating Token Index: 790

Text #11

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Data Index: 325777 (C4 (Web Text))

Max Activating Token Index: 627

Text #12

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Max Activating Token Index: 622

Text #13

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Data Index: 107090 (C4 (Web Text))

Max Activating Token Index: 241

Text #14

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Max Activating Token Index: 722

Text #15

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Max Activating Token Index: 800

Text #16

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Max Activating Token Index: 401

Text #17

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Max Activating Token Index: 663

Text #18

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Max Activating Token Index: 863

Text #19

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Data Index: 601189 (C4 (Web Text))

Max Activating Token Index: 601