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

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

Neuron 312 in Layer 9

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

Text #0

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Max Act: 1.2890. Min Act: -0.0000

Data Index: 1557216 (Python Code)

Max Activating Token Index: 410

Text #1

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Data Index: 923758 (C4 (Web Text))

Max Activating Token Index: 728

Text #2

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Data Index: 1469687 (Python Code)

Max Activating Token Index: 375

Text #3

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Max Act: 0.8699. Min Act: -0.0000

Data Index: 866006 (C4 (Web Text))

Max Activating Token Index: 527

Text #4

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Data Index: 1586552 (Python Code)

Max Activating Token Index: 687

Text #5

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Data Index: 1491872 (Python Code)

Max Activating Token Index: 285

Text #6

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Data Index: 1567636 (Python Code)

Max Activating Token Index: 366

Text #7

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Data Index: 1454592 (Python Code)

Max Activating Token Index: 250

Text #8

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Data Index: 381541 (C4 (Web Text))

Max Activating Token Index: 1002

Text #9

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Data Index: 1462521 (Python Code)

Max Activating Token Index: 142

Text #10

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Data Index: 1525472 (Python Code)

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Text #11

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Data Index: 1505428 (Python Code)

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Text #12

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Data Index: 1216652 (C4 (Web Text))

Max Activating Token Index: 171

Text #13

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Data Index: 1457639 (Python Code)

Max Activating Token Index: 183

Text #14

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Data Index: 1456584 (Python Code)

Max Activating Token Index: 336

Text #15

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Text #16

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Text #17

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Data Index: 1377913 (Python Code)

Max Activating Token Index: 306

Text #18

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Data Index: 146868 (C4 (Web Text))

Max Activating Token Index: 898

Text #19

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Max Act: 0.5769. Min Act: -0.0000

Data Index: 1376436 (Python Code)

Max Activating Token Index: 351