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

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

Neuron 1570 in Layer 1

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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Data Index: 722069 (C4 (Web Text))

Max Activating Token Index: 334

Text #1

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Data Index: 1041086 (C4 (Web Text))

Max Activating Token Index: 852

Text #2

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Data Index: 923328 (C4 (Web Text))

Max Activating Token Index: 348

Text #3

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Max Act: 0.0281. Min Act: -0.0003

Data Index: 1171133 (C4 (Web Text))

Max Activating Token Index: 234

Text #4

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Data Index: 659652 (C4 (Web Text))

Max Activating Token Index: 341

Text #5

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Data Index: 534788 (C4 (Web Text))

Max Activating Token Index: 204

Text #6

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Data Index: 353717 (C4 (Web Text))

Max Activating Token Index: 150

Text #7

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Text #8

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Max Activating Token Index: 378

Text #9

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Max Activating Token Index: 503

Text #10

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Max Activating Token Index: 247

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Max Activating Token Index: 589

Text #12

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Max Activating Token Index: 929

Text #13

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Data Index: 18875 (C4 (Web Text))

Max Activating Token Index: 232

Text #14

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Max Activating Token Index: 430

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 978

Text #18

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Data Index: 176392 (C4 (Web Text))

Max Activating Token Index: 752

Text #19

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Data Index: 953790 (C4 (Web Text))

Max Activating Token Index: 170