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

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

Neuron 1352 in Layer 0

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

Text #0

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Max Act: 0.0348. Min Act: -0.0004

Data Index: 855646 (C4 (Web Text))

Max Activating Token Index: 209

Text #1

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Data Index: 459772 (C4 (Web Text))

Max Activating Token Index: 650

Text #2

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Max Act: 0.0305. Min Act: -0.0004

Data Index: 334597 (C4 (Web Text))

Max Activating Token Index: 995

Text #3

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Max Act: 0.0311. Min Act: -0.0004

Data Index: 903137 (C4 (Web Text))

Max Activating Token Index: 297

Text #4

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Data Index: 1002985 (C4 (Web Text))

Max Activating Token Index: 488

Text #5

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Data Index: 378652 (C4 (Web Text))

Max Activating Token Index: 647

Text #6

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Max Activating Token Index: 632

Text #7

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Text #8

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Text #9

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Max Activating Token Index: 702

Text #10

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Text #11

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Max Activating Token Index: 700

Text #12

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Max Activating Token Index: 18

Text #13

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Max Activating Token Index: 340

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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Max Activating Token Index: 960

Text #19

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Data Index: 1273870 (C4 (Web Text))

Max Activating Token Index: 673