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

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

Neuron 3070 in Layer 0

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

Text #0

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Max Act: 0.0144. Min Act: -0.0002

Data Index: 1321641 (C4 (Web Text))

Max Activating Token Index: 32

Text #1

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Max Act: 0.0140. Min Act: -0.0002

Data Index: 1270741 (C4 (Web Text))

Max Activating Token Index: 642

Text #2

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Max Act: 0.0137. Min Act: -0.0002

Data Index: 516608 (C4 (Web Text))

Max Activating Token Index: 546

Text #3

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 316230 (C4 (Web Text))

Max Activating Token Index: 646

Text #4

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Max Act: 0.0129. Min Act: -0.0002

Data Index: 670684 (C4 (Web Text))

Max Activating Token Index: 312

Text #5

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Max Act: 0.0131. Min Act: -0.0002

Data Index: 546494 (C4 (Web Text))

Max Activating Token Index: 18

Text #6

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Data Index: 1056369 (C4 (Web Text))

Max Activating Token Index: 124

Text #7

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Data Index: 624949 (C4 (Web Text))

Max Activating Token Index: 633

Text #8

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Data Index: 673633 (C4 (Web Text))

Max Activating Token Index: 160

Text #9

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 492790 (C4 (Web Text))

Max Activating Token Index: 820

Text #10

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Max Act: 0.0125. Min Act: -0.0002

Data Index: 440644 (C4 (Web Text))

Max Activating Token Index: 377

Text #11

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Data Index: 1282089 (C4 (Web Text))

Max Activating Token Index: 348

Text #12

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Data Index: 989951 (C4 (Web Text))

Max Activating Token Index: 638

Text #13

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Data Index: 920136 (C4 (Web Text))

Max Activating Token Index: 701

Text #14

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Max Activating Token Index: 613

Text #15

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Max Activating Token Index: 643

Text #16

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Max Activating Token Index: 106

Text #17

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Max Activating Token Index: 1017

Text #18

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Data Index: 420452 (C4 (Web Text))

Max Activating Token Index: 588

Text #19

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Max Act: 0.0117. Min Act: -0.0002

Data Index: 971322 (C4 (Web Text))

Max Activating Token Index: 331