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

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

Neuron 50 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0422. Min Act: -0.0002

Data Index: 924952 (C4 (Web Text))

Max Activating Token Index: 905

Text #1

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Max Activating Token Index: 110

Text #2

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Max Activating Token Index: 439

Text #3

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Max Act: 0.0433. Min Act: -0.0002

Data Index: 136441 (C4 (Web Text))

Max Activating Token Index: 122

Text #4

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Max Activating Token Index: 225

Text #5

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Max Activating Token Index: 464

Text #6

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Max Activating Token Index: 691

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 522

Text #10

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Max Activating Token Index: 147

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Max Activating Token Index: 573

Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Max Activating Token Index: 823

Text #18

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Max Activating Token Index: 14

Text #19

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Data Index: 96346 (C4 (Web Text))

Max Activating Token Index: 193