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

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

Neuron 3531 in Layer 5

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

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Max Act: 0.0322. Min Act: -0.0000

Data Index: 721124 (C4 (Web Text))

Max Activating Token Index: 880

Text #1

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Data Index: 1512003 (Python Code)

Max Activating Token Index: 38

Text #2

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Data Index: 1083081 (C4 (Web Text))

Max Activating Token Index: 153

Text #3

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Max Act: 0.0272. Min Act: -0.0000

Data Index: 722308 (C4 (Web Text))

Max Activating Token Index: 524

Text #4

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Max Act: 0.0271. Min Act: -0.0000

Data Index: 2204 (C4 (Web Text))

Max Activating Token Index: 729

Text #5

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Data Index: 693167 (C4 (Web Text))

Max Activating Token Index: 605

Text #6

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Max Activating Token Index: 1002

Text #7

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Max Activating Token Index: 687

Text #8

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Max Activating Token Index: 861

Text #9

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Max Activating Token Index: 954

Text #10

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Max Activating Token Index: 629

Text #11

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Data Index: 1601601 (Python Code)

Max Activating Token Index: 858

Text #12

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Data Index: 437942 (C4 (Web Text))

Max Activating Token Index: 752

Text #13

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Data Index: 1639120 (Python Code)

Max Activating Token Index: 716

Text #14

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Data Index: 1437370 (Python Code)

Max Activating Token Index: 150

Text #15

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Text #16

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Text #17

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Data Index: 1093604 (C4 (Web Text))

Max Activating Token Index: 312

Text #18

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Data Index: 1459494 (Python Code)

Max Activating Token Index: 366

Text #19

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Data Index: 1641111 (Python Code)

Max Activating Token Index: 474