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

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

Neuron 4894 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

Max Range: 0.0094. Min Range: -0.0094

Max Act: 0.0094. Min Act: -0.0002

Data Index: 400835 (C4 (Web Text))

Max Activating Token Index: 703

Text #1

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Max Act: 0.0091. Min Act: -0.0002

Data Index: 1583053 (Python Code)

Max Activating Token Index: 27

Text #2

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Max Act: 0.0079. Min Act: -0.0002

Data Index: 400345 (C4 (Web Text))

Max Activating Token Index: 691

Text #3

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Max Act: 0.0074. Min Act: -0.0002

Data Index: 16729 (C4 (Web Text))

Max Activating Token Index: 747

Text #4

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Max Act: 0.0080. Min Act: -0.0002

Data Index: 911416 (C4 (Web Text))

Max Activating Token Index: 156

Text #5

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Max Act: 0.0084. Min Act: -0.0002

Data Index: 61735 (C4 (Web Text))

Max Activating Token Index: 810

Text #6

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Data Index: 1535687 (Python Code)

Max Activating Token Index: 359

Text #7

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Data Index: 666135 (C4 (Web Text))

Max Activating Token Index: 601

Text #8

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Max Activating Token Index: 637

Text #9

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Max Activating Token Index: 94

Text #10

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Max Activating Token Index: 735

Text #11

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Data Index: 681455 (C4 (Web Text))

Max Activating Token Index: 723

Text #12

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Data Index: 1126113 (C4 (Web Text))

Max Activating Token Index: 373

Text #13

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Data Index: 248207 (C4 (Web Text))

Max Activating Token Index: 548

Text #14

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Data Index: 309120 (C4 (Web Text))

Max Activating Token Index: 860

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 906

Text #18

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Data Index: 774589 (C4 (Web Text))

Max Activating Token Index: 234

Text #19

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Max Act: 0.0067. Min Act: -0.0002

Data Index: 630263 (C4 (Web Text))

Max Activating Token Index: 315