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

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

Neuron 142 in Layer 2

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: 0.1080. Min Act: -0.0002

Data Index: 508354 (C4 (Web Text))

Max Activating Token Index: 83

Text #1

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Max Act: 0.1004. Min Act: -0.0002

Data Index: 1244472 (C4 (Web Text))

Max Activating Token Index: 445

Text #2

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Data Index: 1262093 (C4 (Web Text))

Max Activating Token Index: 937

Text #3

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Data Index: 858191 (C4 (Web Text))

Max Activating Token Index: 515

Text #4

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Data Index: 149429 (C4 (Web Text))

Max Activating Token Index: 245

Text #5

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Data Index: 1210522 (C4 (Web Text))

Max Activating Token Index: 45

Text #6

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Max Activating Token Index: 988

Text #7

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Max Activating Token Index: 817

Text #8

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Max Activating Token Index: 552

Text #9

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Max Activating Token Index: 758

Text #10

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Data Index: 1260472 (C4 (Web Text))

Max Activating Token Index: 632

Text #11

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Max Activating Token Index: 127

Text #12

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Max Activating Token Index: 926

Text #13

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Data Index: 1142709 (C4 (Web Text))

Max Activating Token Index: 257

Text #14

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Max Activating Token Index: 438

Text #15

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Text #16

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Max Activating Token Index: 668

Text #17

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Data Index: 53199 (C4 (Web Text))

Max Activating Token Index: 824

Text #18

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Max Activating Token Index: 650

Text #19

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Data Index: 834202 (C4 (Web Text))

Max Activating Token Index: 504