Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1680 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Data Index: 1040916 (C4 (Web Text))

Max Activating Token Index: 776

Text #1

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Max Activating Token Index: 783

Text #2

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Max Activating Token Index: 797

Text #3

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Data Index: 1123595 (C4 (Web Text))

Max Activating Token Index: 85

Text #4

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Data Index: 136996 (C4 (Web Text))

Max Activating Token Index: 836

Text #5

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Max Activating Token Index: 884

Text #6

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Max Activating Token Index: 23

Text #7

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Max Activating Token Index: 868

Text #8

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Max Activating Token Index: 75

Text #9

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Max Activating Token Index: 135

Text #10

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Text #11

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Max Activating Token Index: 361

Text #12

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Max Activating Token Index: 706

Text #13

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Max Activating Token Index: 333

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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Max Activating Token Index: 636

Text #19

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Data Index: 472999 (C4 (Web Text))

Max Activating Token Index: 31