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

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

Neuron 1114 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: 359001 (C4 (Web Text))

Max Activating Token Index: 15

Text #1

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Max Activating Token Index: 148

Text #2

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Data Index: 1024917 (C4 (Web Text))

Max Activating Token Index: 792

Text #3

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Max Act: 0.0232. Min Act: -0.0003

Data Index: 675340 (C4 (Web Text))

Max Activating Token Index: 474

Text #4

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Data Index: 1157198 (C4 (Web Text))

Max Activating Token Index: 723

Text #5

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Max Activating Token Index: 621

Text #6

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Max Activating Token Index: 32

Text #7

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Max Activating Token Index: 633

Text #8

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Max Activating Token Index: 707

Text #9

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Max Activating Token Index: 574

Text #10

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Max Activating Token Index: 96

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Max Activating Token Index: 121

Text #12

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Max Activating Token Index: 926

Text #13

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Max Activating Token Index: 974

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 408

Text #18

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Max Activating Token Index: 13

Text #19

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Data Index: 519845 (C4 (Web Text))

Max Activating Token Index: 319