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

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

Neuron 566 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: 1.3159. Min Act: -0.0001

Data Index: 123181 (C4 (Web Text))

Max Activating Token Index: 444

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Text #1

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Max Act: 0.9258. Min Act: -0.0001

Data Index: 461056 (C4 (Web Text))

Max Activating Token Index: 293

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Text #2

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Max Act: 0.0512. Min Act: -0.0000

Data Index: 1604603 (Python Code)

Max Activating Token Index: 736

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Text #3

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Max Act: 0.0495. Min Act: -0.0000

Data Index: 1455004 (Python Code)

Max Activating Token Index: 365

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Data Index: 1497676 (Python Code)

Max Activating Token Index: 559

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Text #5

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Data Index: 1615461 (Python Code)

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Data Index: 1427272 (Python Code)

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Data Index: 1585785 (Python Code)

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Data Index: 1575152 (Python Code)

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Data Index: 1557738 (Python Code)

Max Activating Token Index: 162

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Data Index: 1423756 (Python Code)

Max Activating Token Index: 872

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Data Index: 1584639 (Python Code)

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Data Index: 1395403 (Python Code)

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Text #14

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Data Index: 1398280 (Python Code)

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Text #15

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Data Index: 1451118 (Python Code)

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Text #16

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Data Index: 1647746 (Python Code)

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Text #17

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Data Index: 1647932 (Python Code)

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Data Index: 1498926 (Python Code)

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Text #19

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Data Index: 1433886 (Python Code)

Max Activating Token Index: 975

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