Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 211 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Max Act: 0.0160. Min Act: -0.0004

Data Index: 35840 (C4 (Web Text))

Max Activating Token Index: 1

Text #1

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Data Index: 1380274 (Python Code)

Max Activating Token Index: 1

Text #2

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Data Index: 40325 (C4 (Web Text))

Max Activating Token Index: 1

Text #3

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Max Activating Token Index: 1

Text #4

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Max Activating Token Index: 1

Text #5

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Data Index: 57157 (C4 (Web Text))

Max Activating Token Index: 1

Text #6

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Max Activating Token Index: 1

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Text #10

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Max Activating Token Index: 1

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Text #13

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Text #14

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Max Activating Token Index: 1

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 1

Text #18

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Max Activating Token Index: 1

Text #19

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Max Act: 0.0160. Min Act: -0.0004

Data Index: 73581 (C4 (Web Text))

Max Activating Token Index: 1