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

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

Neuron 4072 in Layer 1

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

Text #0

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Max Act: 0.0834. Min Act: -0.0003

Data Index: 1515514 (Python Code)

Max Activating Token Index: 11

Text #1

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Max Act: 0.0810. Min Act: -0.0002

Data Index: 1534575 (Python Code)

Max Activating Token Index: 268

Text #2

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Max Act: 0.0711. Min Act: -0.0003

Data Index: 1547850 (Python Code)

Max Activating Token Index: 816

Text #3

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Max Act: 0.0719. Min Act: -0.0003

Data Index: 1479369 (Python Code)

Max Activating Token Index: 330

Text #4

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Max Act: 0.0725. Min Act: -0.0003

Data Index: 1401537 (Python Code)

Max Activating Token Index: 290

Text #5

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Data Index: 1440115 (Python Code)

Max Activating Token Index: 519

Text #6

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Data Index: 1504941 (Python Code)

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Text #7

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Data Index: 1496252 (Python Code)

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Text #8

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Data Index: 1425642 (Python Code)

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Text #9

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Data Index: 1363351 (Python Code)

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Text #10

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Data Index: 1559020 (Python Code)

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Text #11

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Data Index: 1536927 (Python Code)

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Text #12

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Data Index: 1615703 (Python Code)

Max Activating Token Index: 633

Text #13

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Data Index: 1432725 (Python Code)

Max Activating Token Index: 75

Text #14

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Data Index: 1512863 (Python Code)

Max Activating Token Index: 153

Text #15

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Data Index: 1600942 (Python Code)

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Text #16

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Data Index: 1430117 (Python Code)

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Text #17

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Data Index: 1363699 (Python Code)

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Text #18

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Data Index: 1481085 (Python Code)

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Text #19

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Data Index: 1555686 (Python Code)

Max Activating Token Index: 243