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

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

Neuron 3319 in Layer 0

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

Text #0

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Max Act: 0.0621. Min Act: -0.0002

Data Index: 611546 (C4 (Web Text))

Max Activating Token Index: 602

Text #1

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Data Index: 1255926 (C4 (Web Text))

Max Activating Token Index: 455

Text #2

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Max Act: 0.0600. Min Act: -0.0002

Data Index: 1044181 (C4 (Web Text))

Max Activating Token Index: 171

Text #3

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Max Act: 0.0592. Min Act: -0.0002

Data Index: 643105 (C4 (Web Text))

Max Activating Token Index: 281

Text #4

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Max Act: 0.0548. Min Act: -0.0002

Data Index: 587998 (C4 (Web Text))

Max Activating Token Index: 713

Text #5

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Max Act: 0.0565. Min Act: -0.0002

Data Index: 621759 (C4 (Web Text))

Max Activating Token Index: 503

Text #6

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Max Activating Token Index: 325

Text #7

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Max Activating Token Index: 170

Text #8

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Data Index: 615454 (C4 (Web Text))

Max Activating Token Index: 386

Text #9

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Data Index: 13126 (C4 (Web Text))

Max Activating Token Index: 400

Text #10

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Max Activating Token Index: 336

Text #11

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Max Activating Token Index: 842

Text #12

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Max Activating Token Index: 856

Text #13

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Data Index: 616960 (C4 (Web Text))

Max Activating Token Index: 65

Text #14

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Data Index: 199242 (C4 (Web Text))

Max Activating Token Index: 630

Text #15

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Max Activating Token Index: 20

Text #16

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Text #17

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Max Activating Token Index: 524

Text #18

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Data Index: 880764 (C4 (Web Text))

Max Activating Token Index: 544

Text #19

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Data Index: 1183871 (C4 (Web Text))

Max Activating Token Index: 710