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Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1565 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')



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Max Act: 0.0225. Min Act: -0.0006

Data Index: 1624306 (Python Code)

Max Activating Token Index: 889

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Text #1

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Data Index: 1622915 (Python Code)

Max Activating Token Index: 201

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Max Act: 0.0207. Min Act: -0.0006

Data Index: 1562887 (Python Code)

Max Activating Token Index: 777

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Text #3

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Max Act: 0.0187. Min Act: -0.0006

Data Index: 544127 (C4 (Web Text))

Max Activating Token Index: 43

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Data Index: 1579019 (Python Code)

Max Activating Token Index: 392

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Data Index: 1487063 (Python Code)

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Data Index: 1613865 (Python Code)

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Data Index: 1422031 (Python Code)

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Text #8

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Data Index: 1413153 (Python Code)

Max Activating Token Index: 566

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Text #9

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Data Index: 1524919 (Python Code)

Max Activating Token Index: 534

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Text #10

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Text #13

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Text #14

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Data Index: 1590916 (Python Code)

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Text #18

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Data Index: 1552697 (Python Code)

Max Activating Token Index: 393

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