Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1334 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Data Index: 1089283 (C4 (Web Text))

Max Activating Token Index: 527

Text #1

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Data Index: 1140077 (C4 (Web Text))

Max Activating Token Index: 495

Text #2

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Max Act: 0.0544. Min Act: -0.0005

Data Index: 569176 (C4 (Web Text))

Max Activating Token Index: 923

Text #3

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Max Act: 0.0535. Min Act: -0.0005

Data Index: 131156 (C4 (Web Text))

Max Activating Token Index: 699

Text #4

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Data Index: 818262 (C4 (Web Text))

Max Activating Token Index: 1007

Text #5

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Max Activating Token Index: 441

Text #6

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Data Index: 203321 (C4 (Web Text))

Max Activating Token Index: 390

Text #7

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Data Index: 175196 (C4 (Web Text))

Max Activating Token Index: 331

Text #8

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Data Index: 139069 (C4 (Web Text))

Max Activating Token Index: 712

Text #9

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Data Index: 16488 (C4 (Web Text))

Max Activating Token Index: 366

Text #10

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Max Activating Token Index: 76

Text #11

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Max Activating Token Index: 766

Text #12

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Data Index: 288710 (C4 (Web Text))

Max Activating Token Index: 495

Text #13

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Data Index: 1141590 (C4 (Web Text))

Max Activating Token Index: 604

Text #14

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Data Index: 467158 (C4 (Web Text))

Max Activating Token Index: 924

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 980

Text #18

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Data Index: 442059 (C4 (Web Text))

Max Activating Token Index: 84

Text #19

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Data Index: 1123919 (C4 (Web Text))

Max Activating Token Index: 425