Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1576 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0091. Min Act: -0.0006

Data Index: 1375959 (Python Code)

Max Activating Token Index: 204

Text #1

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Max Act: 0.0089. Min Act: -0.0005

Data Index: 1526149 (Python Code)

Max Activating Token Index: 691

Text #2

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Max Act: 0.0090. Min Act: -0.0005

Data Index: 1515348 (Python Code)

Max Activating Token Index: 57

Text #3

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Max Act: 0.0087. Min Act: -0.0006

Data Index: 1420193 (Python Code)

Max Activating Token Index: 369

Text #4

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Max Act: 0.0085. Min Act: -0.0006

Data Index: 1621530 (Python Code)

Max Activating Token Index: 1009

Text #5

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Data Index: 1469562 (Python Code)

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Text #6

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Data Index: 1387118 (Python Code)

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Text #7

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Data Index: 1480028 (Python Code)

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Text #8

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Data Index: 1610103 (Python Code)

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Text #9

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Data Index: 1387272 (Python Code)

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Text #10

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Data Index: 1411807 (Python Code)

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Text #11

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Data Index: 1641544 (Python Code)

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Text #12

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Data Index: 1613824 (Python Code)

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Text #13

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Data Index: 1417621 (Python Code)

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Text #14

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Data Index: 1408988 (Python Code)

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Text #15

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Data Index: 1420200 (Python Code)

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Text #16

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Data Index: 1557445 (Python Code)

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Text #17

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Data Index: 1448841 (Python Code)

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Text #18

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Data Index: 1606786 (Python Code)

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Text #19

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Data Index: 1629232 (Python Code)

Max Activating Token Index: 1017