Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 3016 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Data Index: 850890 (C4 (Web Text))

Max Activating Token Index: 956

Text #1

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Max Activating Token Index: 88

Text #2

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Max Activating Token Index: 154

Text #3

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Data Index: 273372 (C4 (Web Text))

Max Activating Token Index: 553

Text #4

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Max Activating Token Index: 645

Text #5

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Max Activating Token Index: 764

Text #6

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Max Activating Token Index: 314

Text #7

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Text #8

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Max Activating Token Index: 956

Text #9

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Max Activating Token Index: 808

Text #10

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Max Activating Token Index: 496

Text #11

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Max Activating Token Index: 228

Text #12

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Max Activating Token Index: 82

Text #13

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Max Activating Token Index: 739

Text #14

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Max Activating Token Index: 481

Text #15

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Max Activating Token Index: 470

Text #16

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Text #17

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Max Activating Token Index: 455

Text #18

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Text #19

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Data Index: 537285 (C4 (Web Text))

Max Activating Token Index: 133