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

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

Neuron 116 in Layer 0

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

Text #0

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Max Act: 0.0158. Min Act: -0.0003

Data Index: 1383931 (Python Code)

Max Activating Token Index: 416

Text #1

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Max Act: 0.0154. Min Act: -0.0003

Data Index: 1621773 (Python Code)

Max Activating Token Index: 519

Text #2

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Max Act: 0.0154. Min Act: -0.0003

Data Index: 1629455 (Python Code)

Max Activating Token Index: 418

Text #3

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Max Act: 0.0153. Min Act: -0.0003

Data Index: 160972 (C4 (Web Text))

Max Activating Token Index: 749

Text #4

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Max Act: 0.0151. Min Act: -0.0003

Data Index: 1429134 (Python Code)

Max Activating Token Index: 490

Text #5

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Max Act: 0.0150. Min Act: -0.0003

Data Index: 1628490 (Python Code)

Max Activating Token Index: 633

Text #6

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Data Index: 1056690 (C4 (Web Text))

Max Activating Token Index: 282

Text #7

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Data Index: 1205249 (C4 (Web Text))

Max Activating Token Index: 333

Text #8

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Data Index: 353434 (C4 (Web Text))

Max Activating Token Index: 543

Text #9

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Data Index: 1409802 (Python Code)

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Text #10

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Data Index: 1446353 (Python Code)

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Text #11

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Max Activating Token Index: 783

Text #12

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Data Index: 1380193 (Python Code)

Max Activating Token Index: 527

Text #13

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Data Index: 1565968 (Python Code)

Max Activating Token Index: 318

Text #14

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Data Index: 1568984 (Python Code)

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Text #15

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Data Index: 1637149 (Python Code)

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Text #16

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Data Index: 368290 (C4 (Web Text))

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Text #17

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Data Index: 1490125 (Python Code)

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Text #18

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Data Index: 1434659 (Python Code)

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Text #19

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Max Act: 0.0135. Min Act: -0.0002

Data Index: 1444404 (Python Code)

Max Activating Token Index: 688