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

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

Neuron 750 in Layer 0

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Text #0

Max Range: 0.0218. Min Range: -0.0218

Max Act: 0.0218. Min Act: -0.0003

Data Index: 370496 (C4 (Web Text))

Max Activating Token Index: 668

Text #1

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Max Act: 0.0210. Min Act: -0.0003

Data Index: 167179 (C4 (Web Text))

Max Activating Token Index: 542

Text #2

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Max Act: 0.0200. Min Act: -0.0003

Data Index: 1233033 (C4 (Web Text))

Max Activating Token Index: 1008

Text #3

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 1371406 (Python Code)

Max Activating Token Index: 821

Text #4

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Max Act: 0.0201. Min Act: -0.0003

Data Index: 1654505 (Python Code)

Max Activating Token Index: 567

Text #5

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Max Act: 0.0198. Min Act: -0.0003

Data Index: 167057 (C4 (Web Text))

Max Activating Token Index: 315

Text #6

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Data Index: 1532600 (Python Code)

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Text #7

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Data Index: 1583195 (Python Code)

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Text #8

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Data Index: 695646 (C4 (Web Text))

Max Activating Token Index: 200

Text #9

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Data Index: 1508957 (Python Code)

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Text #10

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Data Index: 705586 (C4 (Web Text))

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Text #11

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Max Act: 0.0188. Min Act: -0.0003

Data Index: 1088777 (C4 (Web Text))

Max Activating Token Index: 217

Text #12

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Data Index: 1568026 (Python Code)

Max Activating Token Index: 144

Text #13

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Max Act: 0.0182. Min Act: -0.0003

Data Index: 491505 (C4 (Web Text))

Max Activating Token Index: 307

Text #14

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Max Act: 0.0181. Min Act: -0.0003

Data Index: 1644030 (Python Code)

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Text #15

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Data Index: 1548622 (Python Code)

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Text #16

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Data Index: 1365750 (Python Code)

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Text #17

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Data Index: 1475241 (Python Code)

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Text #18

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Data Index: 1567064 (Python Code)

Max Activating Token Index: 849

Text #19

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Max Act: 0.0177. Min Act: -0.0003

Data Index: 1527879 (Python Code)

Max Activating Token Index: 997