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

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

Neuron 3347 in Layer 2

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

Text #0

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Max Act: 0.0436. Min Act: -0.0002

Data Index: 1630616 (Python Code)

Max Activating Token Index: 659

Text #1

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Max Act: 0.0455. Min Act: -0.0002

Data Index: 1561770 (Python Code)

Max Activating Token Index: 450

Text #2

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Max Act: 0.0455. Min Act: -0.0002

Data Index: 1034738 (C4 (Web Text))

Max Activating Token Index: 798

Text #3

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Max Act: 0.0445. Min Act: -0.0002

Data Index: 1406789 (Python Code)

Max Activating Token Index: 856

Text #4

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Max Act: 0.0445. Min Act: -0.0002

Data Index: 1402824 (Python Code)

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Text #5

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Data Index: 211820 (C4 (Web Text))

Max Activating Token Index: 832

Text #6

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Data Index: 1443973 (Python Code)

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Text #7

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Data Index: 1534744 (Python Code)

Max Activating Token Index: 1009

Text #8

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Data Index: 1437755 (Python Code)

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Text #9

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Data Index: 1513572 (Python Code)

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Text #10

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Data Index: 1366637 (Python Code)

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Text #11

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Data Index: 1469114 (Python Code)

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Text #12

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Data Index: 1464355 (Python Code)

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Text #13

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Data Index: 1413008 (Python Code)

Max Activating Token Index: 806

Text #14

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Data Index: 1423053 (Python Code)

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Text #15

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Data Index: 1482680 (Python Code)

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Text #16

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Data Index: 1542346 (Python Code)

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Text #17

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Data Index: 1443527 (Python Code)

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Text #18

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Data Index: 1425028 (Python Code)

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Text #19

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Data Index: 1492295 (Python Code)

Max Activating Token Index: 849