Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 3899 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0840. Min Act: -0.0003

Data Index: 1577248 (Python Code)

Max Activating Token Index: 297

Text #1

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Max Act: 0.0823. Min Act: -0.0003

Data Index: 1506457 (Python Code)

Max Activating Token Index: 364

Text #2

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Max Act: 0.0732. Min Act: -0.0003

Data Index: 1539273 (Python Code)

Max Activating Token Index: 238

Text #3

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Max Act: 0.0711. Min Act: -0.0003

Data Index: 1492175 (Python Code)

Max Activating Token Index: 301

Text #4

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Max Act: 0.0722. Min Act: -0.0003

Data Index: 1364055 (Python Code)

Max Activating Token Index: 378

Text #5

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Data Index: 1641471 (Python Code)

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Text #6

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Data Index: 1525573 (Python Code)

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Text #7

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Data Index: 1588116 (Python Code)

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Text #8

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Data Index: 1603700 (Python Code)

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Text #9

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Data Index: 1403112 (Python Code)

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Text #10

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Data Index: 1392001 (Python Code)

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Text #11

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Data Index: 1565925 (Python Code)

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Text #12

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Data Index: 1368595 (Python Code)

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Text #13

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Data Index: 1438785 (Python Code)

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Text #14

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Data Index: 1501705 (Python Code)

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Text #15

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Data Index: 1501370 (Python Code)

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Text #16

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Data Index: 1400519 (Python Code)

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Text #17

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Data Index: 1558577 (Python Code)

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Text #18

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Data Index: 1420648 (Python Code)

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Text #19

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Data Index: 1440764 (Python Code)

Max Activating Token Index: 500