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

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

Neuron 796 in Layer 1

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

Text #0

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Max Act: 0.0722. Min Act: -0.0003

Data Index: 686343 (C4 (Web Text))

Max Activating Token Index: 762

Text #1

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Data Index: 862621 (C4 (Web Text))

Max Activating Token Index: 329

Text #2

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Max Act: 0.0720. Min Act: -0.0003

Data Index: 1201108 (C4 (Web Text))

Max Activating Token Index: 739

Text #3

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Max Act: 0.0685. Min Act: -0.0003

Data Index: 112405 (C4 (Web Text))

Max Activating Token Index: 970

Text #4

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Data Index: 769437 (C4 (Web Text))

Max Activating Token Index: 943

Text #5

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Data Index: 1034681 (C4 (Web Text))

Max Activating Token Index: 379

Text #6

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Data Index: 495453 (C4 (Web Text))

Max Activating Token Index: 81

Text #7

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Data Index: 427465 (C4 (Web Text))

Max Activating Token Index: 187

Text #8

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Max Activating Token Index: 330

Text #9

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Data Index: 42018 (C4 (Web Text))

Max Activating Token Index: 894

Text #10

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Data Index: 35363 (C4 (Web Text))

Max Activating Token Index: 377

Text #11

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Max Activating Token Index: 783

Text #12

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Max Activating Token Index: 176

Text #13

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Data Index: 334825 (C4 (Web Text))

Max Activating Token Index: 359

Text #14

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Data Index: 239866 (C4 (Web Text))

Max Activating Token Index: 188

Text #15

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Max Activating Token Index: 462

Text #16

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Max Activating Token Index: 64

Text #17

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Max Activating Token Index: 764

Text #18

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Max Activating Token Index: 673

Text #19

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Data Index: 656808 (C4 (Web Text))

Max Activating Token Index: 840