Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1945 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 1086517 (C4 (Web Text))

Max Activating Token Index: 41

Text #1

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Max Act: 0.0321. Min Act: -0.0003

Data Index: 71957 (C4 (Web Text))

Max Activating Token Index: 598

Text #2

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Max Act: 0.0306. Min Act: -0.0003

Data Index: 1178360 (C4 (Web Text))

Max Activating Token Index: 767

Text #3

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Max Act: 0.0305. Min Act: -0.0003

Data Index: 1258332 (C4 (Web Text))

Max Activating Token Index: 916

Text #4

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Data Index: 1096046 (C4 (Web Text))

Max Activating Token Index: 574

Text #5

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Max Activating Token Index: 907

Text #6

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Max Activating Token Index: 566

Text #7

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Max Activating Token Index: 551

Text #8

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Max Activating Token Index: 41

Text #9

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Max Activating Token Index: 273

Text #10

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Text #11

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Max Activating Token Index: 191

Text #12

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Max Activating Token Index: 530

Text #13

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Max Activating Token Index: 959

Text #14

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Max Activating Token Index: 94

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 851

Text #18

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Max Activating Token Index: 5

Text #19

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Data Index: 504205 (C4 (Web Text))

Max Activating Token Index: 278