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

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

Neuron 1924 in Layer 2

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: 0.0319. Min Act: -0.0003

Data Index: 869735 (C4 (Web Text))

Max Activating Token Index: 636

Text #1

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Data Index: 32082 (C4 (Web Text))

Max Activating Token Index: 954

Text #2

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Max Act: 0.0312. Min Act: -0.0003

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Max Activating Token Index: 530

Text #3

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Max Act: 0.0297. Min Act: -0.0003

Data Index: 1295859 (C4 (Web Text))

Max Activating Token Index: 778

Text #4

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Max Act: 0.0304. Min Act: -0.0003

Data Index: 235165 (C4 (Web Text))

Max Activating Token Index: 673

Text #5

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Max Activating Token Index: 674

Text #6

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Max Activating Token Index: 582

Text #7

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Max Activating Token Index: 350

Text #8

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Max Activating Token Index: 342

Text #9

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Max Activating Token Index: 565

Text #10

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Max Activating Token Index: 144

Text #11

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Max Activating Token Index: 112

Text #12

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Max Activating Token Index: 459

Text #13

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Max Activating Token Index: 407

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 515

Text #17

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Max Activating Token Index: 631

Text #18

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Data Index: 250113 (C4 (Web Text))

Max Activating Token Index: 446

Text #19

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Data Index: 597515 (C4 (Web Text))

Max Activating Token Index: 62