Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 966 in Layer 1

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 338815 (C4 (Web Text))

Max Activating Token Index: 613

Text #1

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Data Index: 888812 (C4 (Web Text))

Max Activating Token Index: 875

Text #2

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Max Act: 0.0190. Min Act: -0.0006

Data Index: 819245 (C4 (Web Text))

Max Activating Token Index: 176

Text #3

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Max Act: 0.0183. Min Act: -0.0006

Data Index: 1061218 (C4 (Web Text))

Max Activating Token Index: 106

Text #4

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Max Act: 0.0173. Min Act: -0.0006

Data Index: 1305420 (C4 (Web Text))

Max Activating Token Index: 342

Text #5

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Max Act: 0.0181. Min Act: -0.0006

Data Index: 277127 (C4 (Web Text))

Max Activating Token Index: 160

Text #6

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Data Index: 29069 (C4 (Web Text))

Max Activating Token Index: 47

Text #7

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Max Activating Token Index: 622

Text #8

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Max Activating Token Index: 512

Text #9

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Data Index: 896709 (C4 (Web Text))

Max Activating Token Index: 71

Text #10

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Max Activating Token Index: 912

Text #11

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Data Index: 698245 (C4 (Web Text))

Max Activating Token Index: 361

Text #12

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Max Activating Token Index: 403

Text #13

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Data Index: 520404 (C4 (Web Text))

Max Activating Token Index: 121

Text #14

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Data Index: 700710 (C4 (Web Text))

Max Activating Token Index: 32

Text #15

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Text #16

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Max Activating Token Index: 329

Text #17

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Max Activating Token Index: 758

Text #18

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Data Index: 584503 (C4 (Web Text))

Max Activating Token Index: 288

Text #19

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Data Index: 1069033 (C4 (Web Text))

Max Activating Token Index: 55