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

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

Neuron 205 in Layer 0

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

Text #0

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Max Act: 0.0022. Min Act: -0.0006

Data Index: 1029804 (C4 (Web Text))

Max Activating Token Index: 764

Text #1

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Data Index: 1136034 (C4 (Web Text))

Max Activating Token Index: 4

Text #2

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Data Index: 992871 (C4 (Web Text))

Max Activating Token Index: 979

Text #3

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Max Act: 0.0021. Min Act: -0.0006

Data Index: 702221 (C4 (Web Text))

Max Activating Token Index: 40

Text #4

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Data Index: 156068 (C4 (Web Text))

Max Activating Token Index: 388

Text #5

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Max Activating Token Index: 17

Text #6

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Data Index: 90000 (C4 (Web Text))

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Text #7

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Text #8

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Max Activating Token Index: 899

Text #9

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Max Activating Token Index: 980

Text #10

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Max Activating Token Index: 257

Text #11

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Text #12

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Text #13

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Text #14

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Max Activating Token Index: 862

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: 920884 (C4 (Web Text))

Max Activating Token Index: 595