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

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

Neuron 1427 in Layer 1

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

Text #0

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Max Act: 0.0243. Min Act: -0.0006

Data Index: 1405657 (Python Code)

Max Activating Token Index: 597

Text #1

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Max Act: 0.0249. Min Act: -0.0006

Data Index: 1448077 (Python Code)

Max Activating Token Index: 1011

Text #2

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Max Act: 0.0224. Min Act: -0.0006

Data Index: 1472108 (Python Code)

Max Activating Token Index: 202

Text #3

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Max Act: 0.0211. Min Act: -0.0006

Data Index: 1620492 (Python Code)

Max Activating Token Index: 798

Text #4

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Max Act: 0.0220. Min Act: -0.0006

Data Index: 1591163 (Python Code)

Max Activating Token Index: 32

Text #5

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Max Act: 0.0215. Min Act: -0.0006

Data Index: 1531761 (Python Code)

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Text #6

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Data Index: 1626010 (Python Code)

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Text #7

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Data Index: 1536886 (Python Code)

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Text #8

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Data Index: 1638609 (Python Code)

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Text #9

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Data Index: 1647661 (Python Code)

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Text #10

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Data Index: 1488042 (Python Code)

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Text #11

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Data Index: 1584902 (Python Code)

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Text #12

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Data Index: 1590563 (Python Code)

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Text #13

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Data Index: 1388240 (Python Code)

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Text #14

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Data Index: 1596428 (Python Code)

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Text #15

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Data Index: 1583713 (Python Code)

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Text #16

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Data Index: 1480726 (Python Code)

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Text #17

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Data Index: 1518539 (Python Code)

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Text #18

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Data Index: 1518947 (Python Code)

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Text #19

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Data Index: 1443264 (Python Code)

Max Activating Token Index: 328