Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 1466 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

Max Range: 0.0329. Min Range: -0.0329

Max Act: 0.0329. Min Act: -0.0002

Data Index: 1589313 (Python Code)

Max Activating Token Index: 555

Text #1

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Max Act: 0.0312. Min Act: -0.0002

Data Index: 1549349 (Python Code)

Max Activating Token Index: 281

Text #2

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Max Act: 0.0302. Min Act: -0.0002

Data Index: 1394395 (Python Code)

Max Activating Token Index: 902

Text #3

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Max Act: 0.0301. Min Act: -0.0002

Data Index: 1440019 (Python Code)

Max Activating Token Index: 771

Text #4

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Max Act: 0.0298. Min Act: -0.0002

Data Index: 1492522 (Python Code)

Max Activating Token Index: 911

Text #5

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Max Act: 0.0296. Min Act: -0.0002

Data Index: 1569023 (Python Code)

Max Activating Token Index: 792

Text #6

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Max Act: 0.0295. Min Act: -0.0002

Data Index: 1522250 (Python Code)

Max Activating Token Index: 737

Text #7

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Data Index: 1646551 (Python Code)

Max Activating Token Index: 802

Text #8

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Data Index: 1459673 (Python Code)

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Text #9

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Max Act: 0.0289. Min Act: -0.0002

Data Index: 1606074 (Python Code)

Max Activating Token Index: 862

Text #10

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Data Index: 1637812 (Python Code)

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Text #11

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Data Index: 1411261 (Python Code)

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Text #12

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Data Index: 1613630 (Python Code)

Max Activating Token Index: 737

Text #13

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Max Act: 0.0289. Min Act: -0.0002

Data Index: 1655560 (Python Code)

Max Activating Token Index: 669

Text #14

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Data Index: 1587335 (Python Code)

Max Activating Token Index: 536

Text #15

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Data Index: 1615027 (Python Code)

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Text #16

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Data Index: 1396520 (Python Code)

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Text #17

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Data Index: 1509328 (Python Code)

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Text #18

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Data Index: 1563389 (Python Code)

Max Activating Token Index: 675

Text #19

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Max Act: 0.0287. Min Act: -0.0002

Data Index: 1519095 (Python Code)

Max Activating Token Index: 263