Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 65 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0251. Min Act: -0.0004

Data Index: 1483045 (Python Code)

Max Activating Token Index: 465

Text #1

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Max Act: 0.0243. Min Act: -0.0004

Data Index: 1415424 (Python Code)

Max Activating Token Index: 395

Text #2

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Max Act: 0.0230. Min Act: -0.0002

Data Index: 1538780 (Python Code)

Max Activating Token Index: 1015

Text #3

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Max Act: 0.0231. Min Act: -0.0004

Data Index: 1601665 (Python Code)

Max Activating Token Index: 21

Text #4

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Max Act: 0.0222. Min Act: -0.0003

Data Index: 1426174 (Python Code)

Max Activating Token Index: 280

Text #5

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Max Act: 0.0220. Min Act: -0.0003

Data Index: 1406002 (Python Code)

Max Activating Token Index: 343

Text #6

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Data Index: 1522152 (Python Code)

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Text #7

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Data Index: 1580110 (Python Code)

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Text #8

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Data Index: 1643639 (Python Code)

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Text #9

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Data Index: 1372231 (Python Code)

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Text #10

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Data Index: 1566497 (Python Code)

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Text #11

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Data Index: 1475527 (Python Code)

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Text #12

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Data Index: 1529072 (Python Code)

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Text #13

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Data Index: 1404330 (Python Code)

Max Activating Token Index: 342

Text #14

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Data Index: 1529822 (Python Code)

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Text #15

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Data Index: 1583540 (Python Code)

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Text #16

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Data Index: 1632581 (Python Code)

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Text #17

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Data Index: 1364586 (Python Code)

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Text #18

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Data Index: 1635830 (Python Code)

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Text #19

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Data Index: 1508733 (Python Code)

Max Activating Token Index: 229