Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 650 in Layer 3

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0890. Min Act: -0.0002

Data Index: 743536 (C4 (Web Text))

Max Activating Token Index: 848

Text #1

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Max Act: 0.0791. Min Act: -0.0001

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Max Activating Token Index: 901

Text #2

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Max Act: 0.0819. Min Act: -0.0002

Data Index: 487081 (C4 (Web Text))

Max Activating Token Index: 379

Text #3

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Max Act: 0.0802. Min Act: -0.0002

Data Index: 671872 (C4 (Web Text))

Max Activating Token Index: 706

Text #4

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Data Index: 845741 (C4 (Web Text))

Max Activating Token Index: 135

Text #5

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Data Index: 1340724 (C4 (Web Text))

Max Activating Token Index: 931

Text #6

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Max Activating Token Index: 696

Text #7

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Data Index: 224657 (C4 (Web Text))

Max Activating Token Index: 267

Text #8

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Data Index: 449253 (C4 (Web Text))

Max Activating Token Index: 115

Text #9

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Data Index: 660850 (C4 (Web Text))

Max Activating Token Index: 317

Text #10

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Max Activating Token Index: 1001

Text #11

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Max Activating Token Index: 983

Text #12

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Data Index: 583272 (C4 (Web Text))

Max Activating Token Index: 184

Text #13

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Data Index: 487602 (C4 (Web Text))

Max Activating Token Index: 883

Text #14

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Max Activating Token Index: 705

Text #15

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Max Activating Token Index: 973

Text #16

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Max Activating Token Index: 872

Text #17

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Data Index: 553220 (C4 (Web Text))

Max Activating Token Index: 562

Text #18

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Data Index: 860092 (C4 (Web Text))

Max Activating Token Index: 164

Text #19

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Data Index: 1149596 (C4 (Web Text))

Max Activating Token Index: 393