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

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

Neuron 446 in Layer 1

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

Text #0

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Max Act: 0.0105. Min Act: -0.0003

Data Index: 1562386 (Python Code)

Max Activating Token Index: 524

Text #1

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Max Act: 0.0098. Min Act: -0.0003

Data Index: 1507187 (Python Code)

Max Activating Token Index: 523

Text #2

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Max Act: 0.0092. Min Act: -0.0003

Data Index: 1439140 (Python Code)

Max Activating Token Index: 366

Text #3

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Max Act: 0.0092. Min Act: -0.0003

Data Index: 1595388 (Python Code)

Max Activating Token Index: 358

Text #4

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Max Act: 0.0088. Min Act: -0.0003

Data Index: 1311156 (C4 (Web Text))

Max Activating Token Index: 553

Text #5

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Max Act: 0.0089. Min Act: -0.0003

Data Index: 1416698 (Python Code)

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Text #6

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Data Index: 273349 (C4 (Web Text))

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Text #7

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Data Index: 1648420 (Python Code)

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Text #8

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Data Index: 500546 (C4 (Web Text))

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Data Index: 1399541 (Python Code)

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Text #10

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Data Index: 1441889 (Python Code)

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Text #11

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Data Index: 1370654 (Python Code)

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Text #12

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Data Index: 1470128 (Python Code)

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Text #13

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Data Index: 419884 (C4 (Web Text))

Max Activating Token Index: 656

Text #14

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Data Index: 1456176 (Python Code)

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Text #15

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Text #16

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Text #17

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Data Index: 1482848 (Python Code)

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Text #18

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Data Index: 1443994 (Python Code)

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Text #19

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Data Index: 1392334 (Python Code)

Max Activating Token Index: 329