Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1521 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.1217. Min Act: -0.0006

Data Index: 1498379 (Python Code)

Max Activating Token Index: 944

Text #1

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Max Act: 0.1235. Min Act: -0.0006

Data Index: 1620940 (Python Code)

Max Activating Token Index: 999

Text #2

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Max Act: 0.0984. Min Act: -0.0006

Data Index: 1566898 (Python Code)

Max Activating Token Index: 724

Text #3

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Max Act: 0.0986. Min Act: -0.0006

Data Index: 1587485 (Python Code)

Max Activating Token Index: 588

Text #4

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Max Act: 0.0975. Min Act: -0.0006

Data Index: 573440 (C4 (Web Text))

Max Activating Token Index: 330

Text #5

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Max Act: 0.0930. Min Act: -0.0006

Data Index: 1561897 (Python Code)

Max Activating Token Index: 981

Text #6

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Data Index: 593933 (C4 (Web Text))

Max Activating Token Index: 622

Text #7

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Data Index: 1488221 (Python Code)

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Text #8

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Data Index: 1398214 (Python Code)

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Text #9

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Data Index: 1628211 (Python Code)

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Text #10

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Data Index: 1507828 (Python Code)

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Text #11

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Data Index: 94561 (C4 (Web Text))

Max Activating Token Index: 552

Text #12

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Data Index: 557777 (C4 (Web Text))

Max Activating Token Index: 1005

Text #13

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Data Index: 1076712 (C4 (Web Text))

Max Activating Token Index: 913

Text #14

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Data Index: 1507328 (Python Code)

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Text #15

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Data Index: 1362968 (Python Code)

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Text #16

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Data Index: 1449103 (Python Code)

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Text #17

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Data Index: 1375545 (Python Code)

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Text #18

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Data Index: 1570421 (Python Code)

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Text #19

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Max Act: 0.0766. Min Act: -0.0006

Data Index: 1469663 (Python Code)

Max Activating Token Index: 774