Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1787 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Data Index: 845362 (C4 (Web Text))

Max Activating Token Index: 676

Text #1

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Max Activating Token Index: 503

Text #2

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Max Activating Token Index: 859

Text #3

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Data Index: 294794 (C4 (Web Text))

Max Activating Token Index: 10

Text #4

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Data Index: 417536 (C4 (Web Text))

Max Activating Token Index: 969

Text #5

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Max Activating Token Index: 919

Text #6

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Max Activating Token Index: 690

Text #7

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Max Activating Token Index: 466

Text #8

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Max Activating Token Index: 117

Text #9

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Max Activating Token Index: 950

Text #10

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Data Index: 576184 (C4 (Web Text))

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Text #11

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Max Activating Token Index: 566

Text #12

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Max Activating Token Index: 871

Text #13

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Max Activating Token Index: 477

Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 829528 (C4 (Web Text))

Max Activating Token Index: 23