Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4219 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 838732 (C4 (Web Text))

Max Activating Token Index: 673

Text #1

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Max Activating Token Index: 470

Text #2

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Max Activating Token Index: 679

Text #3

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Data Index: 1342069 (C4 (Web Text))

Max Activating Token Index: 741

Text #4

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Data Index: 437624 (C4 (Web Text))

Max Activating Token Index: 832

Text #5

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Max Activating Token Index: 785

Text #6

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Max Activating Token Index: 162

Text #7

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Max Activating Token Index: 971

Text #8

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Max Activating Token Index: 249

Text #9

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Max Activating Token Index: 565

Text #10

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Max Activating Token Index: 455

Text #11

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Max Activating Token Index: 1009

Text #12

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Max Activating Token Index: 624

Text #13

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Max Activating Token Index: 131

Text #14

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Max Activating Token Index: 262

Text #15

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Text #16

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Max Activating Token Index: 574

Text #17

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Max Activating Token Index: 394

Text #18

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Max Activating Token Index: 108

Text #19

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Data Index: 829068 (C4 (Web Text))

Max Activating Token Index: 88