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

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

Neuron 989 in Layer 1

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

Text #0

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Data Index: 238480 (C4 (Web Text))

Max Activating Token Index: 482

Text #1

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Max Activating Token Index: 689

Text #2

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Data Index: 876977 (C4 (Web Text))

Max Activating Token Index: 236

Text #3

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Data Index: 450261 (C4 (Web Text))

Max Activating Token Index: 361

Text #4

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Data Index: 366390 (C4 (Web Text))

Max Activating Token Index: 754

Text #5

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Data Index: 191258 (C4 (Web Text))

Max Activating Token Index: 159

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 370

Text #9

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Max Activating Token Index: 172

Text #10

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Max Activating Token Index: 157

Text #11

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Max Activating Token Index: 896

Text #12

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Data Index: 1100123 (C4 (Web Text))

Max Activating Token Index: 189

Text #13

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Max Activating Token Index: 1019

Text #14

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Data Index: 36907 (C4 (Web Text))

Max Activating Token Index: 954

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 106

Text #18

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Max Activating Token Index: 218

Text #19

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Data Index: 1067499 (C4 (Web Text))

Max Activating Token Index: 25