Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 997 in Layer 7

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0986. Min Act: -0.0000

Data Index: 1182963 (C4 (Web Text))

Max Activating Token Index: 670

Text #1

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Data Index: 221043 (C4 (Web Text))

Max Activating Token Index: 232

Text #2

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Data Index: 927575 (C4 (Web Text))

Max Activating Token Index: 200

Text #3

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Data Index: 843732 (C4 (Web Text))

Max Activating Token Index: 639

Text #4

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Data Index: 1180000 (C4 (Web Text))

Max Activating Token Index: 932

Text #5

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Data Index: 498963 (C4 (Web Text))

Max Activating Token Index: 954

Text #6

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Max Activating Token Index: 510

Text #7

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Max Activating Token Index: 464

Text #8

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Max Activating Token Index: 857

Text #9

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Max Activating Token Index: 49

Text #10

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Data Index: 494694 (C4 (Web Text))

Max Activating Token Index: 519

Text #11

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Data Index: 385129 (C4 (Web Text))

Max Activating Token Index: 240

Text #12

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Data Index: 519195 (C4 (Web Text))

Max Activating Token Index: 137

Text #13

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Data Index: 999029 (C4 (Web Text))

Max Activating Token Index: 424

Text #14

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Max Activating Token Index: 544

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 410

Text #18

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Data Index: 1090807 (C4 (Web Text))

Max Activating Token Index: 274

Text #19

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Data Index: 787153 (C4 (Web Text))

Max Activating Token Index: 140