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

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

Neuron 1400 in Layer 0

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Text #0

Max Range: 0.0249. Min Range: -0.0249

Max Act: 0.0249. Min Act: -0.0003

Data Index: 1497851 (Python Code)

Max Activating Token Index: 258

Text #1

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Max Act: 0.0242. Min Act: -0.0003

Data Index: 1073214 (C4 (Web Text))

Max Activating Token Index: 842

Text #2

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Max Act: 0.0211. Min Act: -0.0003

Data Index: 1624489 (Python Code)

Max Activating Token Index: 684

Text #3

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Max Act: 0.0207. Min Act: -0.0003

Data Index: 1420037 (Python Code)

Max Activating Token Index: 93

Text #4

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Max Act: 0.0206. Min Act: -0.0003

Data Index: 826712 (C4 (Web Text))

Max Activating Token Index: 981

Text #5

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Max Act: 0.0206. Min Act: -0.0003

Data Index: 244810 (C4 (Web Text))

Max Activating Token Index: 350

Text #6

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Max Activating Token Index: 229

Text #7

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Data Index: 1450681 (Python Code)

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Text #8

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Data Index: 1515738 (Python Code)

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Text #9

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Data Index: 866508 (C4 (Web Text))

Max Activating Token Index: 505

Text #10

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Max Act: 0.0195. Min Act: -0.0003

Data Index: 285440 (C4 (Web Text))

Max Activating Token Index: 415

Text #11

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Data Index: 1442241 (Python Code)

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Text #12

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Data Index: 1511672 (Python Code)

Max Activating Token Index: 282

Text #13

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Max Act: 0.0188. Min Act: -0.0003

Data Index: 1007730 (C4 (Web Text))

Max Activating Token Index: 615

Text #14

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Data Index: 1587475 (Python Code)

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Text #15

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Max Act: 0.0185. Min Act: -0.0003

Data Index: 587185 (C4 (Web Text))

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Text #16

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Data Index: 985637 (C4 (Web Text))

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Text #17

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Data Index: 1455966 (Python Code)

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Text #18

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Max Act: 0.0181. Min Act: -0.0003

Data Index: 915253 (C4 (Web Text))

Max Activating Token Index: 161

Text #19

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Max Act: 0.0182. Min Act: -0.0003

Data Index: 186890 (C4 (Web Text))

Max Activating Token Index: 146