Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2700 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0536. Min Act: -0.0003

Data Index: 242179 (C4 (Web Text))

Max Activating Token Index: 18

Text #1

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Max Activating Token Index: 34

Text #2

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Max Act: 0.0499. Min Act: -0.0003

Data Index: 488776 (C4 (Web Text))

Max Activating Token Index: 399

Text #3

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Data Index: 93573 (C4 (Web Text))

Max Activating Token Index: 835

Text #4

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Data Index: 1100889 (C4 (Web Text))

Max Activating Token Index: 274

Text #5

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Max Activating Token Index: 878

Text #6

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Max Activating Token Index: 495

Text #7

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Text #8

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Max Activating Token Index: 377

Text #9

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Text #10

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Text #11

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Max Activating Token Index: 811

Text #12

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Text #13

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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: 380

Text #18

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Text #19

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Data Index: 144594 (C4 (Web Text))

Max Activating Token Index: 1019