Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 321 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0413. Min Act: -0.0003

Data Index: 1515847 (Python Code)

Max Activating Token Index: 640

Text #1

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Max Act: 0.0394. Min Act: -0.0004

Data Index: 1609900 (Python Code)

Max Activating Token Index: 781

Text #2

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Max Act: 0.0381. Min Act: -0.0004

Data Index: 1449935 (Python Code)

Max Activating Token Index: 520

Text #3

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Max Act: 0.0379. Min Act: -0.0003

Data Index: 1637563 (Python Code)

Max Activating Token Index: 526

Text #4

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Max Act: 0.0367. Min Act: -0.0004

Data Index: 1548910 (Python Code)

Max Activating Token Index: 263

Text #5

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Max Act: 0.0370. Min Act: -0.0003

Data Index: 1477430 (Python Code)

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Text #6

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Data Index: 1537858 (Python Code)

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Text #7

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Data Index: 1591483 (Python Code)

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Text #8

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Data Index: 1615621 (Python Code)

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Text #9

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Data Index: 1390824 (Python Code)

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Text #10

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Data Index: 1526470 (Python Code)

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Text #11

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Data Index: 1594173 (Python Code)

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Text #12

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Data Index: 1380405 (Python Code)

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Text #13

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Data Index: 1601652 (Python Code)

Max Activating Token Index: 1002

Text #14

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Data Index: 1649507 (Python Code)

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Text #15

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Data Index: 1611437 (Python Code)

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Text #16

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Data Index: 1589101 (Python Code)

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Text #17

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Data Index: 1628379 (Python Code)

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Text #18

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Data Index: 1601793 (Python Code)

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Text #19

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Data Index: 1654432 (Python Code)

Max Activating Token Index: 373