Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1812 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0428. Min Act: -0.0004

Data Index: 488244 (C4 (Web Text))

Max Activating Token Index: 1017

Text #1

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Max Act: 0.0375. Min Act: -0.0004

Data Index: 1089058 (C4 (Web Text))

Max Activating Token Index: 999

Text #2

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Max Act: 0.0332. Min Act: -0.0005

Data Index: 13002 (C4 (Web Text))

Max Activating Token Index: 899

Text #3

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Max Act: 0.0245. Min Act: -0.0004

Data Index: 958504 (C4 (Web Text))

Max Activating Token Index: 992

Text #4

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Max Act: 0.0226. Min Act: -0.0003

Data Index: 571620 (C4 (Web Text))

Max Activating Token Index: 996

Text #5

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Max Act: 0.0200. Min Act: -0.0003

Data Index: 1263489 (C4 (Web Text))

Max Activating Token Index: 850

Text #6

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Data Index: 608523 (C4 (Web Text))

Max Activating Token Index: 958

Text #7

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Data Index: 1365798 (Python Code)

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Text #8

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Data Index: 1542932 (Python Code)

Max Activating Token Index: 1022

Text #9

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Max Activating Token Index: 1014

Text #10

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Max Activating Token Index: 1001

Text #11

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Max Activating Token Index: 680

Text #12

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Max Activating Token Index: 897

Text #13

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Data Index: 1185643 (C4 (Web Text))

Max Activating Token Index: 830

Text #14

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Max Activating Token Index: 895

Text #15

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Data Index: 1397516 (Python Code)

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Text #16

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Text #17

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Max Activating Token Index: 1021

Text #18

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Data Index: 1653168 (Python Code)

Max Activating Token Index: 1006

Text #19

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Data Index: 1394951 (Python Code)

Max Activating Token Index: 933