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

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

Neuron 2042 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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Data Index: 16770 (C4 (Web Text))

Max Activating Token Index: 993

Text #1

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Max Activating Token Index: 917

Text #2

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Data Index: 400731 (C4 (Web Text))

Max Activating Token Index: 518

Text #3

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Data Index: 94224 (C4 (Web Text))

Max Activating Token Index: 750

Text #4

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Data Index: 50420 (C4 (Web Text))

Max Activating Token Index: 1006

Text #5

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Data Index: 1058920 (C4 (Web Text))

Max Activating Token Index: 711

Text #6

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Max Activating Token Index: 284

Text #7

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Max Activating Token Index: 58

Text #8

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Max Activating Token Index: 517

Text #9

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Max Activating Token Index: 734

Text #10

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Max Activating Token Index: 678

Text #11

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Max Activating Token Index: 1012

Text #12

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Max Activating Token Index: 237

Text #13

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Max Activating Token Index: 579

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 451

Text #18

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Text #19

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Data Index: 1196150 (C4 (Web Text))

Max Activating Token Index: 169