Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 544 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')

Text #0

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Max Act: 0.2469. Min Act: -0.0002

Data Index: 1371275 (Python Code)

Max Activating Token Index: 783

Text #1

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Max Act: 0.2357. Min Act: -0.0002

Data Index: 1470987 (Python Code)

Max Activating Token Index: 428

Text #2

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Max Act: 0.2254. Min Act: -0.0002

Data Index: 1608521 (Python Code)

Max Activating Token Index: 842

Text #3

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Max Act: 0.2129. Min Act: -0.0002

Data Index: 1011944 (C4 (Web Text))

Max Activating Token Index: 364

Text #4

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Max Act: 0.2041. Min Act: -0.0002

Data Index: 959050 (C4 (Web Text))

Max Activating Token Index: 918

Text #5

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Max Act: 0.2046. Min Act: -0.0002

Data Index: 408235 (C4 (Web Text))

Max Activating Token Index: 131

Text #6

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Data Index: 1603963 (Python Code)

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Text #7

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Data Index: 1575014 (Python Code)

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Text #8

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Data Index: 103953 (C4 (Web Text))

Max Activating Token Index: 705

Text #9

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Data Index: 1555154 (Python Code)

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Text #10

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Data Index: 1572054 (Python Code)

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Text #11

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Data Index: 436606 (C4 (Web Text))

Max Activating Token Index: 234

Text #12

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Data Index: 261117 (C4 (Web Text))

Max Activating Token Index: 493

Text #13

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Data Index: 1516293 (Python Code)

Max Activating Token Index: 739

Text #14

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Data Index: 863838 (C4 (Web Text))

Max Activating Token Index: 267

Text #15

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Data Index: 1637929 (Python Code)

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Text #16

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Data Index: 1624015 (Python Code)

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Text #17

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Data Index: 395439 (C4 (Web Text))

Max Activating Token Index: 543

Text #18

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Data Index: 1604329 (Python Code)

Max Activating Token Index: 390

Text #19

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Max Act: 0.1731. Min Act: -0.0002

Data Index: 1442303 (Python Code)

Max Activating Token Index: 910