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

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

Neuron 1678 in Layer 1

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

Text #0

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Max Act: 0.0316. Min Act: -0.0006

Data Index: 1605170 (Python Code)

Max Activating Token Index: 176

Text #1

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Max Act: 0.0321. Min Act: -0.0006

Data Index: 1484421 (Python Code)

Max Activating Token Index: 675

Text #2

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Max Act: 0.0299. Min Act: -0.0006

Data Index: 1532296 (Python Code)

Max Activating Token Index: 149

Text #3

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Max Act: 0.0302. Min Act: -0.0006

Data Index: 1448532 (Python Code)

Max Activating Token Index: 142

Text #4

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Max Act: 0.0308. Min Act: -0.0006

Data Index: 1595946 (Python Code)

Max Activating Token Index: 319

Text #5

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Max Act: 0.0301. Min Act: -0.0006

Data Index: 1472011 (Python Code)

Max Activating Token Index: 437

Text #6

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Data Index: 1417711 (Python Code)

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Text #7

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Data Index: 1588302 (Python Code)

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Text #8

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Data Index: 1444286 (Python Code)

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Text #9

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Data Index: 1604687 (Python Code)

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Text #10

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Data Index: 1536526 (Python Code)

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Text #11

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Data Index: 1420724 (Python Code)

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Text #12

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Data Index: 1580387 (Python Code)

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Text #13

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Data Index: 1625406 (Python Code)

Max Activating Token Index: 274

Text #14

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Data Index: 1466284 (Python Code)

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Text #15

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Data Index: 1454404 (Python Code)

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Text #16

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Data Index: 1590371 (Python Code)

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Text #17

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Data Index: 1524427 (Python Code)

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Text #18

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Data Index: 1532905 (Python Code)

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Text #19

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Data Index: 1465919 (Python Code)

Max Activating Token Index: 84