Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1927 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 67799 (C4 (Web Text))

Max Activating Token Index: 720

Text #1

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Max Activating Token Index: 666

Text #2

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Max Act: 0.0366. Min Act: -0.0006

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Max Activating Token Index: 509

Text #3

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Max Act: 0.0302. Min Act: -0.0006

Data Index: 424116 (C4 (Web Text))

Max Activating Token Index: 772

Text #4

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Max Activating Token Index: 599

Text #5

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Max Activating Token Index: 314

Text #6

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Text #7

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Text #8

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Text #9

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Max Activating Token Index: 440

Text #10

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Max Activating Token Index: 375

Text #11

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Max Activating Token Index: 512

Text #12

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Max Activating Token Index: 201

Text #13

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Max Activating Token Index: 203

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: 889106 (C4 (Web Text))

Max Activating Token Index: 598