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

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

Neuron 584 in Layer 5

Load this data into an Interactive Neuroscope

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



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Max Act: 0.0350. Min Act: -0.0000

Data Index: 1656581 (Python Code)

Max Activating Token Index: 138

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Text #1

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Max Act: 0.0300. Min Act: -0.0000

Data Index: 1544119 (Python Code)

Max Activating Token Index: 590

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Text #2

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Max Act: 0.0308. Min Act: -0.0000

Data Index: 1162103 (C4 (Web Text))

Max Activating Token Index: 722

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Text #3

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Max Act: 0.0289. Min Act: -0.0000

Data Index: 1467782 (Python Code)

Max Activating Token Index: 990

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Max Act: 0.0290. Min Act: -0.0000

Data Index: 1560139 (Python Code)

Max Activating Token Index: 821

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Text #5

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Max Act: 0.0269. Min Act: -0.0000

Data Index: 1653791 (Python Code)

Max Activating Token Index: 180

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Data Index: 1497540 (Python Code)

Max Activating Token Index: 752

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Text #7

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Data Index: 1197054 (C4 (Web Text))

Max Activating Token Index: 83

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Text #8

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Data Index: 1386269 (Python Code)

Max Activating Token Index: 947

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Data Index: 1654748 (Python Code)

Max Activating Token Index: 649

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Data Index: 1595619 (Python Code)

Max Activating Token Index: 813

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Data Index: 1654869 (Python Code)

Max Activating Token Index: 817

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Data Index: 1431158 (Python Code)

Max Activating Token Index: 601

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Data Index: 1363890 (Python Code)

Max Activating Token Index: 816

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Text #14

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Data Index: 1648260 (Python Code)

Max Activating Token Index: 567

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Text #15

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Data Index: 1484972 (Python Code)

Max Activating Token Index: 742

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Data Index: 1645509 (Python Code)

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Text #17

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Data Index: 1602450 (Python Code)

Max Activating Token Index: 501

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Data Index: 1626408 (Python Code)

Max Activating Token Index: 728

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Text #19

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Max Act: 0.0270. Min Act: -0.0000

Data Index: 1417606 (Python Code)

Max Activating Token Index: 939

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