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

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

Neuron 40 in Layer 1

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

Text #0

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Max Act: 0.0962. Min Act: -0.0003

Data Index: 344548 (C4 (Web Text))

Max Activating Token Index: 237

Text #1

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Data Index: 363259 (C4 (Web Text))

Max Activating Token Index: 47

Text #2

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Max Act: 0.0862. Min Act: -0.0003

Data Index: 918820 (C4 (Web Text))

Max Activating Token Index: 524

Text #3

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Max Act: 0.0780. Min Act: -0.0003

Data Index: 1097359 (C4 (Web Text))

Max Activating Token Index: 840

Text #4

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Max Act: 0.0771. Min Act: -0.0003

Data Index: 589652 (C4 (Web Text))

Max Activating Token Index: 260

Text #5

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Max Activating Token Index: 291

Text #6

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Max Activating Token Index: 129

Text #7

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Text #8

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Max Activating Token Index: 585

Text #9

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Data Index: 447881 (C4 (Web Text))

Max Activating Token Index: 163

Text #10

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Max Activating Token Index: 221

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Max Activating Token Index: 433

Text #12

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Max Activating Token Index: 415

Text #13

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Data Index: 951538 (C4 (Web Text))

Max Activating Token Index: 370

Text #14

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Data Index: 6914 (C4 (Web Text))

Max Activating Token Index: 725

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 115

Text #18

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Data Index: 485586 (C4 (Web Text))

Max Activating Token Index: 362

Text #19

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Data Index: 99062 (C4 (Web Text))

Max Activating Token Index: 512