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

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

Neuron 512 in Layer 4

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

Text #0

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Data Index: 217520 (C4 (Web Text))

Max Activating Token Index: 94

Text #1

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Data Index: 1143058 (C4 (Web Text))

Max Activating Token Index: 526

Text #2

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Data Index: 1035643 (C4 (Web Text))

Max Activating Token Index: 917

Text #3

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Max Act: 1.6448. Min Act: -0.0000

Data Index: 943056 (C4 (Web Text))

Max Activating Token Index: 377

Text #4

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Data Index: 966127 (C4 (Web Text))

Max Activating Token Index: 883

Text #5

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Data Index: 1136624 (C4 (Web Text))

Max Activating Token Index: 59

Text #6

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Max Activating Token Index: 908

Text #7

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Max Activating Token Index: 13

Text #8

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Data Index: 526242 (C4 (Web Text))

Max Activating Token Index: 318

Text #9

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Data Index: 348296 (C4 (Web Text))

Max Activating Token Index: 167

Text #10

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Data Index: 517612 (C4 (Web Text))

Max Activating Token Index: 309

Text #11

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Data Index: 22979 (C4 (Web Text))

Max Activating Token Index: 559

Text #12

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Data Index: 329605 (C4 (Web Text))

Max Activating Token Index: 460

Text #13

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Data Index: 969712 (C4 (Web Text))

Max Activating Token Index: 755

Text #14

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Data Index: 1009180 (C4 (Web Text))

Max Activating Token Index: 279

Text #15

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Text #16

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Max Activating Token Index: 430

Text #17

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Max Activating Token Index: 925

Text #18

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Data Index: 1325220 (C4 (Web Text))

Max Activating Token Index: 613

Text #19

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Max Act: 1.2374. Min Act: -0.0000

Data Index: 871236 (C4 (Web Text))

Max Activating Token Index: 159