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

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

Neuron 2039 in Layer 4

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: 805690 (C4 (Web Text))

Max Activating Token Index: 413

Text #1

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Max Activating Token Index: 902

Text #2

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Max Activating Token Index: 893

Text #3

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Data Index: 1223067 (C4 (Web Text))

Max Activating Token Index: 980

Text #4

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Data Index: 604214 (C4 (Web Text))

Max Activating Token Index: 450

Text #5

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Max Activating Token Index: 654

Text #6

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Data Index: 590060 (C4 (Web Text))

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Text #7

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Text #8

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Text #9

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Text #10

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Data Index: 325871 (C4 (Web Text))

Max Activating Token Index: 85

Text #11

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Max Activating Token Index: 684

Text #12

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Max Activating Token Index: 654

Text #13

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Data Index: 88803 (C4 (Web Text))

Max Activating Token Index: 192

Text #14

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Data Index: 333663 (C4 (Web Text))

Max Activating Token Index: 538

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: 314

Text #19

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Data Index: 1343418 (C4 (Web Text))

Max Activating Token Index: 385