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

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

Neuron 464 in Layer 2

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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Max Act: 0.0760. Min Act: -0.0005

Data Index: 1006594 (C4 (Web Text))

Max Activating Token Index: 558

Text #1

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Max Activating Token Index: 798

Text #2

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Data Index: 1209782 (C4 (Web Text))

Max Activating Token Index: 433

Text #3

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Data Index: 921876 (C4 (Web Text))

Max Activating Token Index: 396

Text #4

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Data Index: 236707 (C4 (Web Text))

Max Activating Token Index: 460

Text #5

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Max Activating Token Index: 548

Text #6

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Max Activating Token Index: 310

Text #7

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Max Activating Token Index: 511

Text #8

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Max Activating Token Index: 550

Text #9

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Max Activating Token Index: 670

Text #10

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Max Activating Token Index: 998

Text #11

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Max Activating Token Index: 783

Text #12

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Max Activating Token Index: 433

Text #13

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Max Activating Token Index: 129

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 524

Text #17

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Max Activating Token Index: 814

Text #18

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Max Activating Token Index: 787

Text #19

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Data Index: 613106 (C4 (Web Text))

Max Activating Token Index: 680