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

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

Neuron 2751 in Layer 1

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

Text #0

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Max Act: 0.0203. Min Act: -0.0003

Data Index: 1521418 (Python Code)

Max Activating Token Index: 257

Text #1

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Max Act: 0.0195. Min Act: -0.0002

Data Index: 1479922 (Python Code)

Max Activating Token Index: 258

Text #2

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Max Act: 0.0186. Min Act: -0.0002

Data Index: 1494476 (Python Code)

Max Activating Token Index: 146

Text #3

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Max Act: 0.0181. Min Act: -0.0002

Data Index: 1499016 (Python Code)

Max Activating Token Index: 684

Text #4

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Max Act: 0.0173. Min Act: -0.0003

Data Index: 1650262 (Python Code)

Max Activating Token Index: 666

Text #5

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Data Index: 1410265 (Python Code)

Max Activating Token Index: 423

Text #6

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Data Index: 19133 (C4 (Web Text))

Max Activating Token Index: 351

Text #7

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Data Index: 1449793 (Python Code)

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Text #8

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Data Index: 551782 (C4 (Web Text))

Max Activating Token Index: 580

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Data Index: 1634615 (Python Code)

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Text #10

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Data Index: 1469931 (Python Code)

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Text #11

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Max Activating Token Index: 737

Text #12

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Data Index: 1522281 (Python Code)

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Text #13

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Data Index: 1581316 (Python Code)

Max Activating Token Index: 623

Text #14

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Data Index: 905258 (C4 (Web Text))

Max Activating Token Index: 520

Text #15

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Data Index: 1616542 (Python Code)

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Text #16

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Data Index: 1383887 (Python Code)

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Text #17

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Data Index: 1363116 (Python Code)

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Text #18

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Data Index: 1471615 (Python Code)

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Text #19

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Data Index: 1337519 (C4 (Web Text))

Max Activating Token Index: 526