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

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

Neuron 1250 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: 0.0225. Min Act: -0.0002

Data Index: 860538 (C4 (Web Text))

Max Activating Token Index: 364

Text #1

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Max Activating Token Index: 469

Text #2

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Max Act: 0.0218. Min Act: -0.0002

Data Index: 1335493 (C4 (Web Text))

Max Activating Token Index: 779

Text #3

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Max Act: 0.0205. Min Act: -0.0002

Data Index: 728395 (C4 (Web Text))

Max Activating Token Index: 57

Text #4

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Data Index: 223536 (C4 (Web Text))

Max Activating Token Index: 170

Text #5

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Max Act: 0.0169. Min Act: -0.0002

Data Index: 1140588 (C4 (Web Text))

Max Activating Token Index: 660

Text #6

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Max Activating Token Index: 406

Text #7

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Text #8

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Max Activating Token Index: 492

Text #9

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Data Index: 364380 (C4 (Web Text))

Max Activating Token Index: 711

Text #10

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Data Index: 534820 (C4 (Web Text))

Max Activating Token Index: 198

Text #11

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Max Activating Token Index: 883

Text #12

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Max Activating Token Index: 821

Text #13

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Data Index: 166006 (C4 (Web Text))

Max Activating Token Index: 397

Text #14

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Data Index: 583814 (C4 (Web Text))

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Text #15

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Max Activating Token Index: 184

Text #16

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Text #17

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Max Activating Token Index: 768

Text #18

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Data Index: 613110 (C4 (Web Text))

Max Activating Token Index: 296

Text #19

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Data Index: 6826 (C4 (Web Text))

Max Activating Token Index: 713