Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 950 in Layer 0

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Text #0

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Max Act: 0.0366. Min Act: -0.0001

Data Index: 347585 (C4 (Web Text))

Max Activating Token Index: 21

Text #1

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Max Act: 0.0346. Min Act: -0.0001

Data Index: 43895 (C4 (Web Text))

Max Activating Token Index: 1

Text #2

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Max Act: 0.0346. Min Act: -0.0001

Data Index: 26182 (C4 (Web Text))

Max Activating Token Index: 1

Text #3

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Max Act: 0.0346. Min Act: -0.0001

Data Index: 71462 (C4 (Web Text))

Max Activating Token Index: 1

Text #4

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Data Index: 1525607 (Python Code)

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Text #5

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Data Index: 1427882 (Python Code)

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Text #6

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Data Index: 1415957 (Python Code)

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Text #7

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Data Index: 1503518 (Python Code)

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Text #8

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Data Index: 1609588 (Python Code)

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Text #9

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Data Index: 1398840 (Python Code)

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Text #10

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Data Index: 1397969 (Python Code)

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Text #11

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Data Index: 1382405 (Python Code)

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Text #12

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Data Index: 1376628 (Python Code)

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Text #13

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Data Index: 1501936 (Python Code)

Max Activating Token Index: 1

Text #14

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Data Index: 1544991 (Python Code)

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Text #15

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Data Index: 1464036 (Python Code)

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Text #16

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Text #17

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Data Index: 1466229 (Python Code)

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Text #18

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Data Index: 33798 (C4 (Web Text))

Max Activating Token Index: 1

Text #19

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Max Act: 0.0346. Min Act: -0.0001

Data Index: 2312 (C4 (Web Text))

Max Activating Token Index: 1