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

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

Neuron 1436 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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Max Act: 0.0288. Min Act: -0.0006

Data Index: 753244 (C4 (Web Text))

Max Activating Token Index: 627

Text #1

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Max Activating Token Index: 921

Text #2

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Max Activating Token Index: 717

Text #3

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Data Index: 1255849 (C4 (Web Text))

Max Activating Token Index: 931

Text #4

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Data Index: 453513 (C4 (Web Text))

Max Activating Token Index: 231

Text #5

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Max Activating Token Index: 870

Text #6

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Max Activating Token Index: 604

Text #7

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Max Activating Token Index: 870

Text #8

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Max Activating Token Index: 456

Text #9

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Max Activating Token Index: 780

Text #10

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Max Activating Token Index: 753

Text #11

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Max Activating Token Index: 840

Text #12

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Max Activating Token Index: 72

Text #13

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Max Activating Token Index: 566

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: 123798 (C4 (Web Text))

Max Activating Token Index: 885