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

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

Neuron 1525 in Layer 1

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: 125560 (C4 (Web Text))

Max Activating Token Index: 791

Text #1

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Max Activating Token Index: 554

Text #2

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Max Activating Token Index: 25

Text #3

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Max Activating Token Index: 973

Text #4

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Data Index: 721859 (C4 (Web Text))

Max Activating Token Index: 399

Text #5

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Max Activating Token Index: 904

Text #6

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Max Activating Token Index: 618

Text #7

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Text #8

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Max Activating Token Index: 771

Text #9

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Text #10

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Text #11

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Max Activating Token Index: 225

Text #12

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Max Activating Token Index: 366

Text #13

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Max Activating Token Index: 935

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: 879470 (C4 (Web Text))

Max Activating Token Index: 143