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

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

Neuron 1965 in Layer 1

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

Text #0

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Max Act: 0.0341. Min Act: -0.0006

Data Index: 1554182 (Python Code)

Max Activating Token Index: 296

Text #1

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Max Act: 0.0298. Min Act: -0.0006

Data Index: 1654220 (Python Code)

Max Activating Token Index: 851

Text #2

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Max Act: 0.0335. Min Act: -0.0006

Data Index: 1368383 (Python Code)

Max Activating Token Index: 88

Text #3

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Max Act: 0.0347. Min Act: -0.0006

Data Index: 1589342 (Python Code)

Max Activating Token Index: 290

Text #4

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Max Act: 0.0335. Min Act: -0.0006

Data Index: 1634112 (Python Code)

Max Activating Token Index: 485

Text #5

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Max Act: 0.0299. Min Act: -0.0006

Data Index: 1627487 (Python Code)

Max Activating Token Index: 851

Text #6

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Data Index: 1512791 (Python Code)

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Text #7

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Data Index: 1524307 (Python Code)

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Text #8

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Data Index: 1594547 (Python Code)

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Text #9

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Data Index: 1377648 (Python Code)

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Text #10

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Data Index: 1414341 (Python Code)

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Text #11

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Data Index: 1653345 (Python Code)

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Text #12

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Data Index: 1635700 (Python Code)

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Text #13

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Data Index: 1441349 (Python Code)

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Text #14

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Data Index: 1446799 (Python Code)

Max Activating Token Index: 479

Text #15

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Data Index: 1387641 (Python Code)

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Text #16

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Data Index: 1586429 (Python Code)

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Text #17

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Data Index: 1584192 (Python Code)

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Text #18

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Data Index: 1556601 (Python Code)

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Text #19

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Data Index: 1598864 (Python Code)

Max Activating Token Index: 284