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

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

Neuron 1141 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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Data Index: 1297705 (C4 (Web Text))

Max Activating Token Index: 454

Text #1

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Max Activating Token Index: 501

Text #2

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Data Index: 1087616 (C4 (Web Text))

Max Activating Token Index: 743

Text #3

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Data Index: 312636 (C4 (Web Text))

Max Activating Token Index: 531

Text #4

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Data Index: 238183 (C4 (Web Text))

Max Activating Token Index: 194

Text #5

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Max Activating Token Index: 684

Text #6

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Max Activating Token Index: 264

Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 574

Text #11

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Max Activating Token Index: 413

Text #12

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Max Activating Token Index: 843

Text #13

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Max Activating Token Index: 440

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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Text #19

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Data Index: 134744 (C4 (Web Text))

Max Activating Token Index: 754