Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 1293 in Layer 0

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Text #0

Max Range: 0.0360. Min Range: -0.0360

Max Act: 0.0360. Min Act: -0.0003

Data Index: 892537 (C4 (Web Text))

Max Activating Token Index: 883

Text #1

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Max Act: 0.0329. Min Act: -0.0003

Data Index: 1464166 (Python Code)

Max Activating Token Index: 585

Text #2

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Max Act: 0.0328. Min Act: -0.0003

Data Index: 1204864 (C4 (Web Text))

Max Activating Token Index: 982

Text #3

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Max Act: 0.0317. Min Act: -0.0003

Data Index: 1507490 (Python Code)

Max Activating Token Index: 722

Text #4

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Max Act: 0.0302. Min Act: -0.0003

Data Index: 1517421 (Python Code)

Max Activating Token Index: 965

Text #5

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Max Act: 0.0307. Min Act: -0.0003

Data Index: 1568432 (Python Code)

Max Activating Token Index: 1023

Text #6

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Data Index: 72392 (C4 (Web Text))

Max Activating Token Index: 1023

Text #7

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Data Index: 1483944 (Python Code)

Max Activating Token Index: 402

Text #8

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Data Index: 1551559 (Python Code)

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Text #9

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Data Index: 1522478 (Python Code)

Max Activating Token Index: 392

Text #10

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Data Index: 1415051 (Python Code)

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Text #11

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Data Index: 1553256 (Python Code)

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Text #12

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Data Index: 1466472 (Python Code)

Max Activating Token Index: 836

Text #13

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Data Index: 1019061 (C4 (Web Text))

Max Activating Token Index: 572

Text #14

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Max Act: 0.0283. Min Act: -0.0003

Data Index: 961092 (C4 (Web Text))

Max Activating Token Index: 1023

Text #15

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Max Act: 0.0281. Min Act: -0.0003

Data Index: 1590153 (Python Code)

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Text #16

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Data Index: 1653610 (Python Code)

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Text #17

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Data Index: 1305221 (C4 (Web Text))

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Text #18

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Data Index: 1618450 (Python Code)

Max Activating Token Index: 99

Text #19

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Max Act: 0.0273. Min Act: -0.0003

Data Index: 1510242 (Python Code)

Max Activating Token Index: 529