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

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

Neuron 2007 in Layer 0

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: 0.0073. Min Act: -0.0002

Data Index: 101574 (C4 (Web Text))

Max Activating Token Index: 457

Text #1

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Max Activating Token Index: 10

Text #2

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Max Activating Token Index: 973

Text #3

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Max Act: 0.0066. Min Act: -0.0002

Data Index: 1082203 (C4 (Web Text))

Max Activating Token Index: 308

Text #4

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Max Act: 0.0064. Min Act: -0.0002

Data Index: 1131248 (C4 (Web Text))

Max Activating Token Index: 221

Text #5

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Data Index: 577181 (C4 (Web Text))

Max Activating Token Index: 83

Text #6

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Max Activating Token Index: 4

Text #7

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Text #8

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Max Activating Token Index: 85

Text #9

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Max Activating Token Index: 261

Text #10

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Max Activating Token Index: 286

Text #11

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Max Activating Token Index: 781

Text #12

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Text #13

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Max Activating Token Index: 517

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 288

Text #19

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Data Index: 340745 (C4 (Web Text))

Max Activating Token Index: 471