Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 1904 in Layer 3

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0670. Min Act: -0.0001

Data Index: 353395 (C4 (Web Text))

Max Activating Token Index: 242

Text #1

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Data Index: 986759 (C4 (Web Text))

Max Activating Token Index: 59

Text #2

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Data Index: 656226 (C4 (Web Text))

Max Activating Token Index: 831

Text #3

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Data Index: 1039034 (C4 (Web Text))

Max Activating Token Index: 304

Text #4

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Data Index: 906599 (C4 (Web Text))

Max Activating Token Index: 495

Text #5

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Data Index: 999702 (C4 (Web Text))

Max Activating Token Index: 94

Text #6

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Max Activating Token Index: 171

Text #7

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Max Activating Token Index: 598

Text #8

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Max Activating Token Index: 970

Text #9

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Max Activating Token Index: 69

Text #10

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Max Activating Token Index: 92

Text #11

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Max Activating Token Index: 532

Text #12

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Max Activating Token Index: 195

Text #13

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Max Activating Token Index: 47

Text #14

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Max Activating Token Index: 100

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 267

Text #18

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Max Activating Token Index: 901

Text #19

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Data Index: 1272928 (C4 (Web Text))

Max Activating Token Index: 90