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

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

Neuron 247 in Layer 1

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

Text #0

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Max Act: 0.0340. Min Act: -0.0003

Data Index: 1460453 (Python Code)

Max Activating Token Index: 6

Text #1

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Max Act: 0.0325. Min Act: -0.0003

Data Index: 1380851 (Python Code)

Max Activating Token Index: 844

Text #2

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 1587977 (Python Code)

Max Activating Token Index: 226

Text #3

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 1416461 (Python Code)

Max Activating Token Index: 594

Text #4

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Max Act: 0.0302. Min Act: -0.0003

Data Index: 1548088 (Python Code)

Max Activating Token Index: 10

Text #5

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Max Act: 0.0302. Min Act: -0.0003

Data Index: 1402794 (Python Code)

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Text #6

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Data Index: 1473298 (Python Code)

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Text #7

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Data Index: 1550598 (Python Code)

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Text #8

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Data Index: 1588381 (Python Code)

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Text #9

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Data Index: 1477727 (Python Code)

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Text #10

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Data Index: 1524187 (Python Code)

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Text #11

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Data Index: 1474832 (Python Code)

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Text #12

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Data Index: 1528223 (Python Code)

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Text #13

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Data Index: 1597590 (Python Code)

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Text #14

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Data Index: 1497370 (Python Code)

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Text #15

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Data Index: 1562551 (Python Code)

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Text #16

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Data Index: 1373357 (Python Code)

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Text #17

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Data Index: 1451345 (Python Code)

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Text #18

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Data Index: 1555961 (Python Code)

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Text #19

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Max Act: 0.0289. Min Act: -0.0003

Data Index: 1397210 (Python Code)

Max Activating Token Index: 584