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Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 45 in Layer 9

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')



Text #0

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Max Act: 2.0395. Min Act: -0.0000

Data Index: 650482 (C4 (Web Text))

Max Activating Token Index: 238

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Text #1

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Data Index: 228597 (C4 (Web Text))

Max Activating Token Index: 498

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Text #2

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Data Index: 514072 (C4 (Web Text))

Max Activating Token Index: 548

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Text #3

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Data Index: 1079413 (C4 (Web Text))

Max Activating Token Index: 328

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Text #4

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Max Act: 1.8609. Min Act: -0.0000

Data Index: 772167 (C4 (Web Text))

Max Activating Token Index: 1020

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Text #5

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Data Index: 1095316 (C4 (Web Text))

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Text #6

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Data Index: 353977 (C4 (Web Text))

Max Activating Token Index: 592

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Text #7

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Data Index: 163747 (C4 (Web Text))

Max Activating Token Index: 849

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Text #8

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Data Index: 790244 (C4 (Web Text))

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Text #9

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Data Index: 1071208 (C4 (Web Text))

Max Activating Token Index: 515

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Text #10

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Data Index: 808779 (C4 (Web Text))

Max Activating Token Index: 884

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Text #11

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Data Index: 391929 (C4 (Web Text))

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Text #12

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Data Index: 996497 (C4 (Web Text))

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Text #13

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Data Index: 540026 (C4 (Web Text))

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Text #14

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Text #15

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Data Index: 438281 (C4 (Web Text))

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Text #16

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Data Index: 1291727 (C4 (Web Text))

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Text #17

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Data Index: 1200274 (C4 (Web Text))

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Text #18

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Data Index: 904491 (C4 (Web Text))

Max Activating Token Index: 80

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Text #19

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Data Index: 1145709 (C4 (Web Text))

Max Activating Token Index: 361

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