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

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

Neuron 2588 in Layer 1

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

Text #0

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Max Act: 0.0361. Min Act: -0.0003

Data Index: 1591166 (Python Code)

Max Activating Token Index: 292

Text #1

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Max Act: 0.0333. Min Act: -0.0003

Data Index: 1364714 (Python Code)

Max Activating Token Index: 174

Text #2

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 1562112 (Python Code)

Max Activating Token Index: 484

Text #3

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Max Act: 0.0325. Min Act: -0.0003

Data Index: 1381410 (Python Code)

Max Activating Token Index: 118

Text #4

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Max Act: 0.0281. Min Act: -0.0003

Data Index: 1503217 (Python Code)

Max Activating Token Index: 1001

Text #5

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Data Index: 1415299 (Python Code)

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Text #6

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Data Index: 1517717 (Python Code)

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Text #7

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Data Index: 1521512 (Python Code)

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Text #8

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Data Index: 1443607 (Python Code)

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Text #9

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Data Index: 1540239 (Python Code)

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Text #10

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Data Index: 1615640 (Python Code)

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Text #11

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Data Index: 1574160 (Python Code)

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Text #12

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Data Index: 1380788 (Python Code)

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Text #13

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Data Index: 1624469 (Python Code)

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Text #14

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Data Index: 1413033 (Python Code)

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Text #15

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Data Index: 1449170 (Python Code)

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Text #16

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Data Index: 1523588 (Python Code)

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Text #17

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Data Index: 1649507 (Python Code)

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Text #18

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Data Index: 1616657 (Python Code)

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Text #19

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Data Index: 1576792 (Python Code)

Max Activating Token Index: 24