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

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

Neuron 746 in Layer 0

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

Text #0

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Max Act: 0.0130. Min Act: -0.0005

Data Index: 1438167 (Python Code)

Max Activating Token Index: 894

Text #1

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Max Act: 0.0131. Min Act: -0.0006

Data Index: 1372597 (Python Code)

Max Activating Token Index: 721

Text #2

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Max Act: 0.0130. Min Act: -0.0006

Data Index: 1512956 (Python Code)

Max Activating Token Index: 716

Text #3

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Max Act: 0.0127. Min Act: -0.0005

Data Index: 1410030 (Python Code)

Max Activating Token Index: 690

Text #4

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Max Act: 0.0129. Min Act: -0.0006

Data Index: 1604366 (Python Code)

Max Activating Token Index: 244

Text #5

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Data Index: 1596191 (Python Code)

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Text #6

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Data Index: 1558585 (Python Code)

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Text #7

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Data Index: 1418234 (Python Code)

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Text #8

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Data Index: 1494634 (Python Code)

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Text #9

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Data Index: 1534384 (Python Code)

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Text #10

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Data Index: 1365866 (Python Code)

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Text #11

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Data Index: 1470522 (Python Code)

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Text #12

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Data Index: 1461610 (Python Code)

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Text #13

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Data Index: 1591609 (Python Code)

Max Activating Token Index: 207

Text #14

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Data Index: 1487179 (Python Code)

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Text #15

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Data Index: 1458874 (Python Code)

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Text #16

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Data Index: 1603613 (Python Code)

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Text #17

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Data Index: 1523704 (Python Code)

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Text #18

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Data Index: 1618718 (Python Code)

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Text #19

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Max Act: 0.0123. Min Act: -0.0006

Data Index: 1174536 (C4 (Web Text))

Max Activating Token Index: 470