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

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

Neuron 868 in Layer 1

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

Text #0

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Max Act: 0.0450. Min Act: -0.0002

Data Index: 1597175 (Python Code)

Max Activating Token Index: 124

Text #1

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Max Act: 0.0433. Min Act: -0.0002

Data Index: 1400944 (Python Code)

Max Activating Token Index: 254

Text #2

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Max Act: 0.0399. Min Act: -0.0003

Data Index: 1489044 (Python Code)

Max Activating Token Index: 314

Text #3

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Max Act: 0.0403. Min Act: -0.0003

Data Index: 1478147 (Python Code)

Max Activating Token Index: 182

Text #4

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Max Act: 0.0395. Min Act: -0.0002

Data Index: 1600273 (Python Code)

Max Activating Token Index: 137

Text #5

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Data Index: 1600504 (Python Code)

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Text #6

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Data Index: 1621776 (Python Code)

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Text #7

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Data Index: 1618350 (Python Code)

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Text #8

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Data Index: 1579291 (Python Code)

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Text #9

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Data Index: 1624676 (Python Code)

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Text #10

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Data Index: 1554790 (Python Code)

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Text #11

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Data Index: 1578863 (Python Code)

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Text #12

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Data Index: 1509894 (Python Code)

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Text #13

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Data Index: 1630116 (Python Code)

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Text #14

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Data Index: 1476824 (Python Code)

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Text #15

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Data Index: 1498993 (Python Code)

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Text #16

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Data Index: 1102769 (C4 (Web Text))

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Text #17

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Data Index: 1630635 (Python Code)

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Text #18

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Data Index: 1579694 (Python Code)

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Text #19

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Data Index: 1387791 (Python Code)

Max Activating Token Index: 19