Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 277 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0011. Min Act: -0.0005

Data Index: 1187743 (C4 (Web Text))

Max Activating Token Index: 457

Text #1

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Data Index: 1359041 (C4 (Web Text))

Max Activating Token Index: 326

Text #2

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Data Index: 28729 (C4 (Web Text))

Max Activating Token Index: 508

Text #3

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Data Index: 948964 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Data Index: 887323 (C4 (Web Text))

Max Activating Token Index: 459

Text #5

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Max Activating Token Index: 531

Text #6

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Max Activating Token Index: 430

Text #7

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Text #8

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Data Index: 115042 (C4 (Web Text))

Max Activating Token Index: 760

Text #9

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Max Activating Token Index: 573

Text #10

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Text #11

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Max Activating Token Index: 418

Text #12

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Text #13

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Max Activating Token Index: 366

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 364

Text #19

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Data Index: 43027 (C4 (Web Text))

Max Activating Token Index: 380