Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 5098 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0139. Min Act: -0.0002

Data Index: 126186 (C4 (Web Text))

Max Activating Token Index: 227

Text #1

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Max Activating Token Index: 253

Text #2

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Max Activating Token Index: 208

Text #3

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Data Index: 912073 (C4 (Web Text))

Max Activating Token Index: 990

Text #4

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Max Activating Token Index: 289

Text #5

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Max Activating Token Index: 760

Text #6

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Text #7

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Text #9

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Max Activating Token Index: 10

Text #10

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Max Activating Token Index: 568

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Text #12

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Max Activating Token Index: 10

Text #13

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Max Activating Token Index: 126

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 606

Text #18

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Max Activating Token Index: 11

Text #19

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Data Index: 82591 (C4 (Web Text))

Max Activating Token Index: 209