Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1524 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0306. Min Act: -0.0006

Data Index: 1583545 (Python Code)

Max Activating Token Index: 477

Text #1

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Data Index: 1442187 (Python Code)

Max Activating Token Index: 408

Text #2

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Data Index: 1476705 (Python Code)

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Text #3

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Max Act: 0.0281. Min Act: -0.0006

Data Index: 1649685 (Python Code)

Max Activating Token Index: 879

Text #4

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Data Index: 1435783 (Python Code)

Max Activating Token Index: 568

Text #5

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Data Index: 1488991 (Python Code)

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Text #6

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Data Index: 1472319 (Python Code)

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Text #7

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Data Index: 1563983 (Python Code)

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Text #8

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Data Index: 1608711 (Python Code)

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Text #9

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Data Index: 1464583 (Python Code)

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Text #10

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Data Index: 1487894 (Python Code)

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Data Index: 1631562 (Python Code)

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Text #12

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Data Index: 1479393 (Python Code)

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Text #13

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Data Index: 1409070 (Python Code)

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Text #14

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Data Index: 1494352 (Python Code)

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Text #15

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Data Index: 1395137 (Python Code)

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Text #16

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Data Index: 1432315 (Python Code)

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Text #17

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Data Index: 1578015 (Python Code)

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Text #18

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Data Index: 1650714 (Python Code)

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Text #19

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Data Index: 1377210 (Python Code)

Max Activating Token Index: 386