Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1866 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0779. Min Act: -0.0002

Data Index: 1292251 (C4 (Web Text))

Max Activating Token Index: 213

Text #1

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Max Act: 0.0761. Min Act: -0.0002

Data Index: 621127 (C4 (Web Text))

Max Activating Token Index: 525

Text #2

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Max Act: 0.0746. Min Act: -0.0002

Data Index: 653684 (C4 (Web Text))

Max Activating Token Index: 740

Text #3

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Max Act: 0.0730. Min Act: -0.0002

Data Index: 804753 (C4 (Web Text))

Max Activating Token Index: 525

Text #4

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Max Act: 0.0712. Min Act: -0.0002

Data Index: 1242326 (C4 (Web Text))

Max Activating Token Index: 126

Text #5

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Max Activating Token Index: 622

Text #6

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Data Index: 151087 (C4 (Web Text))

Max Activating Token Index: 601

Text #7

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Max Activating Token Index: 31

Text #8

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Data Index: 1057160 (C4 (Web Text))

Max Activating Token Index: 161

Text #9

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Max Activating Token Index: 711

Text #10

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Data Index: 800356 (C4 (Web Text))

Max Activating Token Index: 432

Text #11

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Data Index: 833620 (C4 (Web Text))

Max Activating Token Index: 829

Text #12

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Max Activating Token Index: 719

Text #13

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Data Index: 1108782 (C4 (Web Text))

Max Activating Token Index: 221

Text #14

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Max Activating Token Index: 747

Text #15

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Max Activating Token Index: 684

Text #16

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Max Activating Token Index: 250

Text #17

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Max Activating Token Index: 753

Text #18

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Data Index: 395106 (C4 (Web Text))

Max Activating Token Index: 85

Text #19

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Max Act: 0.0627. Min Act: -0.0002

Data Index: 1196992 (C4 (Web Text))

Max Activating Token Index: 356