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

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

Neuron 2292 in Layer 1

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

Text #0

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Max Act: 0.0278. Min Act: -0.0002

Data Index: 1524109 (Python Code)

Max Activating Token Index: 246

Text #1

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Max Act: 0.0242. Min Act: -0.0002

Data Index: 1519162 (Python Code)

Max Activating Token Index: 9

Text #2

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Max Act: 0.0241. Min Act: -0.0003

Data Index: 1524510 (Python Code)

Max Activating Token Index: 651

Text #3

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Max Act: 0.0223. Min Act: -0.0003

Data Index: 1563032 (Python Code)

Max Activating Token Index: 8

Text #4

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Max Act: 0.0234. Min Act: -0.0003

Data Index: 1367858 (Python Code)

Max Activating Token Index: 655

Text #5

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Max Act: 0.0215. Min Act: -0.0003

Data Index: 1568118 (Python Code)

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Text #6

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Data Index: 1549853 (Python Code)

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Text #7

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Data Index: 1448114 (Python Code)

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Text #8

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Data Index: 1394644 (Python Code)

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Text #9

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Data Index: 1421566 (Python Code)

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Text #10

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Data Index: 1429970 (Python Code)

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Text #11

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Data Index: 1602669 (Python Code)

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Text #12

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Data Index: 1615986 (Python Code)

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Text #13

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Data Index: 1451138 (Python Code)

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Text #14

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Data Index: 1609779 (Python Code)

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Text #15

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Data Index: 1404795 (Python Code)

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Text #16

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Data Index: 1395004 (Python Code)

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Text #17

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Data Index: 1535950 (Python Code)

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Text #18

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Data Index: 1645008 (Python Code)

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Text #19

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Data Index: 1476158 (Python Code)

Max Activating Token Index: 209