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

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

Neuron 1955 in Layer 2

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

Text #0

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Max Act: 0.0352. Min Act: -0.0002

Data Index: 1650938 (Python Code)

Max Activating Token Index: 318

Text #1

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Max Act: 0.0397. Min Act: -0.0002

Data Index: 1651347 (Python Code)

Max Activating Token Index: 716

Text #2

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Max Act: 0.0314. Min Act: -0.0002

Data Index: 1515840 (Python Code)

Max Activating Token Index: 623

Text #3

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Max Act: 0.0352. Min Act: -0.0002

Data Index: 1477388 (Python Code)

Max Activating Token Index: 877

Text #4

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Max Act: 0.0331. Min Act: -0.0002

Data Index: 1527671 (Python Code)

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Text #5

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Data Index: 1593673 (Python Code)

Max Activating Token Index: 407

Text #6

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Data Index: 1389080 (Python Code)

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Text #7

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Data Index: 1556988 (Python Code)

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Text #8

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Data Index: 1437517 (Python Code)

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Data Index: 1488380 (Python Code)

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Text #10

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Data Index: 1365480 (Python Code)

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Data Index: 1632098 (Python Code)

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Text #12

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Data Index: 1453792 (Python Code)

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Text #13

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Data Index: 1515871 (Python Code)

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Text #14

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Data Index: 1380684 (Python Code)

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Text #15

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Data Index: 1621276 (Python Code)

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Text #16

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Data Index: 1401320 (Python Code)

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Text #17

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Data Index: 1430545 (Python Code)

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Text #18

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Data Index: 1569351 (Python Code)

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Text #19

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Max Act: 0.0291. Min Act: -0.0002

Data Index: 1377092 (Python Code)

Max Activating Token Index: 792