Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1767 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

Max Range: 0.0362. Min Range: -0.0362

Max Act: 0.0362. Min Act: -0.0001

Data Index: 1405610 (Python Code)

Max Activating Token Index: 638

Text #1

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Max Act: 0.0346. Min Act: -0.0002

Data Index: 1471365 (Python Code)

Max Activating Token Index: 608

Text #2

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Max Act: 0.0343. Min Act: -0.0002

Data Index: 1586628 (Python Code)

Max Activating Token Index: 214

Text #3

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 1547825 (Python Code)

Max Activating Token Index: 587

Text #4

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Max Act: 0.0330. Min Act: -0.0001

Data Index: 1193296 (C4 (Web Text))

Max Activating Token Index: 344

Text #5

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Max Act: 0.0320. Min Act: -0.0002

Data Index: 1574461 (Python Code)

Max Activating Token Index: 55

Text #6

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Data Index: 1581337 (Python Code)

Max Activating Token Index: 412

Text #7

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Data Index: 1418175 (Python Code)

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Text #8

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Data Index: 1601624 (Python Code)

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Text #9

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Data Index: 1366781 (Python Code)

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Text #10

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Data Index: 293961 (C4 (Web Text))

Max Activating Token Index: 388

Text #11

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Max Activating Token Index: 601

Text #12

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Data Index: 1395223 (Python Code)

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Text #13

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Data Index: 1648525 (Python Code)

Max Activating Token Index: 122

Text #14

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Data Index: 1388323 (Python Code)

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Text #15

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Data Index: 1064461 (C4 (Web Text))

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Text #16

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Data Index: 1574891 (Python Code)

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Text #17

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Data Index: 1282122 (C4 (Web Text))

Max Activating Token Index: 464

Text #18

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Data Index: 1638805 (Python Code)

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Text #19

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Max Act: 0.0289. Min Act: -0.0002

Data Index: 1654003 (Python Code)

Max Activating Token Index: 131