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

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

Neuron 3178 in Layer 0

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

Text #0

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Max Act: 0.0639. Min Act: -0.0002

Data Index: 1485388 (Python Code)

Max Activating Token Index: 1015

Text #1

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Max Act: 0.0626. Min Act: -0.0002

Data Index: 1651624 (Python Code)

Max Activating Token Index: 568

Text #2

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Max Act: 0.0626. Min Act: -0.0002

Data Index: 1610952 (Python Code)

Max Activating Token Index: 1003

Text #3

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Max Act: 0.0613. Min Act: -0.0002

Data Index: 1370789 (Python Code)

Max Activating Token Index: 277

Text #4

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Max Act: 0.0614. Min Act: -0.0002

Data Index: 1627806 (Python Code)

Max Activating Token Index: 133

Text #5

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Max Act: 0.0612. Min Act: -0.0002

Data Index: 1494812 (Python Code)

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Text #6

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Data Index: 1417040 (Python Code)

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Text #7

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Data Index: 1617676 (Python Code)

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Text #8

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Data Index: 1490142 (Python Code)

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Text #9

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Data Index: 1483087 (Python Code)

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Text #10

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Data Index: 1492500 (Python Code)

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Text #11

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Data Index: 1421755 (Python Code)

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Text #12

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Data Index: 1415702 (Python Code)

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Text #13

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Data Index: 1500152 (Python Code)

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Text #14

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Data Index: 1536057 (Python Code)

Max Activating Token Index: 552

Text #15

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Data Index: 1409952 (Python Code)

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Text #16

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Data Index: 1607196 (Python Code)

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Text #17

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Data Index: 1475936 (Python Code)

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Text #18

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Data Index: 1415929 (Python Code)

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Text #19

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Data Index: 1650508 (Python Code)

Max Activating Token Index: 1013