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

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

Neuron 532 in Layer 2

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

Text #0

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Max Act: 0.0434. Min Act: -0.0003

Data Index: 1298208 (C4 (Web Text))

Max Activating Token Index: 604

Text #1

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Max Activating Token Index: 801

Text #2

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Max Act: 0.0304. Min Act: -0.0003

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Max Activating Token Index: 578

Text #3

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Max Act: 0.0296. Min Act: -0.0003

Data Index: 877124 (C4 (Web Text))

Max Activating Token Index: 274

Text #4

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Max Act: 0.0296. Min Act: -0.0003

Data Index: 260383 (C4 (Web Text))

Max Activating Token Index: 28

Text #5

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Max Activating Token Index: 608

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 700

Text #9

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Max Activating Token Index: 259

Text #10

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Text #11

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Max Activating Token Index: 371

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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Text #18

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Text #19

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Data Index: 503751 (C4 (Web Text))

Max Activating Token Index: 419