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

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

Neuron 1802 in Layer 2

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

Text #0

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Max Act: 0.0405. Min Act: -0.0003

Data Index: 990950 (C4 (Web Text))

Max Activating Token Index: 253

Text #1

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Max Activating Token Index: 897

Text #2

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Max Act: 0.0360. Min Act: -0.0003

Data Index: 127481 (C4 (Web Text))

Max Activating Token Index: 415

Text #3

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Max Act: 0.0369. Min Act: -0.0003

Data Index: 54972 (C4 (Web Text))

Max Activating Token Index: 1012

Text #4

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Max Activating Token Index: 376

Text #5

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Max Activating Token Index: 77

Text #6

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Text #7

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Text #9

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Text #10

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Max Activating Token Index: 168

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Max Activating Token Index: 159

Text #12

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Text #13

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Max Activating Token Index: 1021

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: 504

Text #18

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Text #19

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Data Index: 901637 (C4 (Web Text))

Max Activating Token Index: 849