Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2405 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0122. Min Act: -0.0003

Data Index: 1589959 (Python Code)

Max Activating Token Index: 158

Text #1

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Max Act: 0.0121. Min Act: -0.0003

Data Index: 1470739 (Python Code)

Max Activating Token Index: 651

Text #2

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Max Act: 0.0114. Min Act: -0.0003

Data Index: 1606186 (Python Code)

Max Activating Token Index: 56

Text #3

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Max Act: 0.0116. Min Act: -0.0003

Data Index: 1489405 (Python Code)

Max Activating Token Index: 14

Text #4

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Max Act: 0.0110. Min Act: -0.0003

Data Index: 1525887 (Python Code)

Max Activating Token Index: 13

Text #5

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Max Act: 0.0105. Min Act: -0.0003

Data Index: 1449352 (Python Code)

Max Activating Token Index: 63

Text #6

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Data Index: 1526331 (Python Code)

Max Activating Token Index: 453

Text #7

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Data Index: 1385434 (Python Code)

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Text #8

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Data Index: 1647806 (Python Code)

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Text #9

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Data Index: 1514533 (Python Code)

Max Activating Token Index: 389

Text #10

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Data Index: 1487270 (Python Code)

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Text #11

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Data Index: 1507501 (Python Code)

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Text #12

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Data Index: 1503779 (Python Code)

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Text #13

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Data Index: 1426249 (Python Code)

Max Activating Token Index: 484

Text #14

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Data Index: 1458081 (Python Code)

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Text #15

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Data Index: 1542429 (Python Code)

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Text #16

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Data Index: 1422166 (Python Code)

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Text #17

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Data Index: 1653398 (Python Code)

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Text #18

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Data Index: 1428126 (Python Code)

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Text #19

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Data Index: 1373647 (Python Code)

Max Activating Token Index: 683