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

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

Neuron 1529 in Layer 2

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

Text #0

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Max Act: 0.0784. Min Act: -0.0002

Data Index: 547751 (C4 (Web Text))

Max Activating Token Index: 92

Text #1

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Max Act: 0.0600. Min Act: -0.0002

Data Index: 297380 (C4 (Web Text))

Max Activating Token Index: 356

Text #2

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Max Act: 0.0640. Min Act: -0.0002

Data Index: 886190 (C4 (Web Text))

Max Activating Token Index: 638

Text #3

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Max Act: 0.0597. Min Act: -0.0002

Data Index: 1137227 (C4 (Web Text))

Max Activating Token Index: 15

Text #4

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Data Index: 570310 (C4 (Web Text))

Max Activating Token Index: 791

Text #5

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Data Index: 50180 (C4 (Web Text))

Max Activating Token Index: 175

Text #6

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Data Index: 132084 (C4 (Web Text))

Max Activating Token Index: 453

Text #7

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Max Activating Token Index: 463

Text #8

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Max Activating Token Index: 57

Text #9

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Max Activating Token Index: 16

Text #10

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Max Activating Token Index: 501

Text #11

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Max Activating Token Index: 184

Text #12

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Max Activating Token Index: 129

Text #13

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Data Index: 1049480 (C4 (Web Text))

Max Activating Token Index: 322

Text #14

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Data Index: 315776 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 317

Text #18

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Data Index: 908080 (C4 (Web Text))

Max Activating Token Index: 846

Text #19

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Data Index: 919965 (C4 (Web Text))

Max Activating Token Index: 249