Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1498 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

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Max Act: 0.0048. Min Act: -0.0006

Data Index: 831587 (C4 (Web Text))

Max Activating Token Index: 661

Text #1

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Max Activating Token Index: 35

Text #2

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Max Activating Token Index: 23

Text #3

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Data Index: 1065360 (C4 (Web Text))

Max Activating Token Index: 686

Text #4

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Data Index: 285212 (C4 (Web Text))

Max Activating Token Index: 24

Text #5

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Max Activating Token Index: 141

Text #6

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Max Activating Token Index: 668

Text #7

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Text #8

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Text #9

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Data Index: 1624170 (Python Code)

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Text #10

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Max Activating Token Index: 323

Text #11

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Text #12

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Max Activating Token Index: 893

Text #13

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Max Activating Token Index: 13

Text #14

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Max Activating Token Index: 11

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: 870789 (C4 (Web Text))

Max Activating Token Index: 104