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

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

Neuron 3473 in Layer 0

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

Text #0

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Max Act: 0.0099. Min Act: -0.0002

Data Index: 1567012 (Python Code)

Max Activating Token Index: 257

Text #1

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 1437250 (Python Code)

Max Activating Token Index: 151

Text #2

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Data Index: 1503764 (Python Code)

Max Activating Token Index: 2

Text #3

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 1497953 (Python Code)

Max Activating Token Index: 2

Text #4

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Max Act: 0.0098. Min Act: -0.0002

Data Index: 1455278 (Python Code)

Max Activating Token Index: 2

Text #5

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Max Act: 0.0094. Min Act: -0.0002

Data Index: 1482944 (Python Code)

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Text #6

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Data Index: 1424590 (Python Code)

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Text #7

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Data Index: 1505814 (Python Code)

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Text #8

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Data Index: 1585612 (Python Code)

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Text #9

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Data Index: 1522330 (Python Code)

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Text #10

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Text #11

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Text #12

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Data Index: 1352105 (C4 (Web Text))

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Text #13

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Data Index: 1605712 (Python Code)

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Text #14

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Data Index: 1421985 (Python Code)

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Text #15

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Data Index: 1464931 (Python Code)

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 351647 (C4 (Web Text))

Max Activating Token Index: 27