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

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

Neuron 1505 in Layer 2

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

Text #0

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Max Act: 0.0333. Min Act: -0.0003

Data Index: 442485 (C4 (Web Text))

Max Activating Token Index: 550

Text #1

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Max Act: 0.0295. Min Act: -0.0003

Data Index: 402977 (C4 (Web Text))

Max Activating Token Index: 355

Text #2

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Max Act: 0.0303. Min Act: -0.0003

Data Index: 1108933 (C4 (Web Text))

Max Activating Token Index: 53

Text #3

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Max Act: 0.0294. Min Act: -0.0003

Data Index: 1009615 (C4 (Web Text))

Max Activating Token Index: 546

Text #4

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Data Index: 1022437 (C4 (Web Text))

Max Activating Token Index: 458

Text #5

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Max Act: 0.0295. Min Act: -0.0003

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Max Activating Token Index: 200

Text #6

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Max Activating Token Index: 166

Text #7

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Text #8

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Max Activating Token Index: 575

Text #9

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Max Activating Token Index: 987

Text #10

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Max Activating Token Index: 609

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Max Activating Token Index: 914

Text #12

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Max Activating Token Index: 836

Text #13

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Data Index: 535272 (C4 (Web Text))

Max Activating Token Index: 1020

Text #14

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Max Activating Token Index: 146

Text #15

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Text #16

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Text #17

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Text #18

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Text #19

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Data Index: 218359 (C4 (Web Text))

Max Activating Token Index: 400