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

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

Neuron 890 in Layer 2

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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Max Act: 0.0598. Min Act: -0.0002

Data Index: 1166332 (C4 (Web Text))

Max Activating Token Index: 303

Text #1

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Max Act: 0.0595. Min Act: -0.0002

Data Index: 101890 (C4 (Web Text))

Max Activating Token Index: 98

Text #2

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Max Act: 0.0589. Min Act: -0.0002

Data Index: 818683 (C4 (Web Text))

Max Activating Token Index: 1007

Text #3

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Max Act: 0.0587. Min Act: -0.0002

Data Index: 1263303 (C4 (Web Text))

Max Activating Token Index: 1013

Text #4

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Data Index: 235166 (C4 (Web Text))

Max Activating Token Index: 7

Text #5

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Max Activating Token Index: 1016

Text #6

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Data Index: 1033226 (C4 (Web Text))

Max Activating Token Index: 114

Text #7

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Max Activating Token Index: 458

Text #8

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Text #9

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Data Index: 888820 (C4 (Web Text))

Max Activating Token Index: 246

Text #10

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Data Index: 478257 (C4 (Web Text))

Max Activating Token Index: 922

Text #11

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Max Activating Token Index: 734

Text #12

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Data Index: 1627576 (Python Code)

Max Activating Token Index: 281

Text #13

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Data Index: 230097 (C4 (Web Text))

Max Activating Token Index: 649

Text #14

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Max Activating Token Index: 996

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 797

Text #18

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Data Index: 592234 (C4 (Web Text))

Max Activating Token Index: 150

Text #19

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Data Index: 432227 (C4 (Web Text))

Max Activating Token Index: 308