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

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

Neuron 650 in Layer 0

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

Text #0

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Max Act: 0.0344. Min Act: -0.0004

Data Index: 1021683 (C4 (Web Text))

Max Activating Token Index: 414

Text #1

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Max Act: 0.0316. Min Act: -0.0004

Data Index: 1292924 (C4 (Web Text))

Max Activating Token Index: 16

Text #2

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Max Act: 0.0309. Min Act: -0.0004

Data Index: 173776 (C4 (Web Text))

Max Activating Token Index: 867

Text #3

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Max Act: 0.0308. Min Act: -0.0004

Data Index: 68283 (C4 (Web Text))

Max Activating Token Index: 729

Text #4

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Max Act: 0.0305. Min Act: -0.0004

Data Index: 752277 (C4 (Web Text))

Max Activating Token Index: 1000

Text #5

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Max Act: 0.0302. Min Act: -0.0004

Data Index: 159274 (C4 (Web Text))

Max Activating Token Index: 843

Text #6

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Max Act: 0.0306. Min Act: -0.0004

Data Index: 1024342 (C4 (Web Text))

Max Activating Token Index: 965

Text #7

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Data Index: 1155915 (C4 (Web Text))

Max Activating Token Index: 624

Text #8

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Max Activating Token Index: 134

Text #9

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Max Act: 0.0292. Min Act: -0.0004

Data Index: 145547 (C4 (Web Text))

Max Activating Token Index: 451

Text #10

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Data Index: 1030950 (C4 (Web Text))

Max Activating Token Index: 685

Text #11

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Data Index: 500548 (C4 (Web Text))

Max Activating Token Index: 650

Text #12

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Max Activating Token Index: 882

Text #13

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Data Index: 787738 (C4 (Web Text))

Max Activating Token Index: 954

Text #14

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Data Index: 134623 (C4 (Web Text))

Max Activating Token Index: 11

Text #15

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Max Activating Token Index: 35

Text #16

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Max Activating Token Index: 679

Text #17

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Data Index: 508948 (C4 (Web Text))

Max Activating Token Index: 527

Text #18

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Data Index: 240997 (C4 (Web Text))

Max Activating Token Index: 835

Text #19

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Max Act: 0.0288. Min Act: -0.0004

Data Index: 25770 (C4 (Web Text))

Max Activating Token Index: 586