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

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

Neuron 1812 in Layer 1

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

Text #0

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Max Act: 0.0942. Min Act: -0.0004

Data Index: 1482761 (Python Code)

Max Activating Token Index: 629

Text #1

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Data Index: 999730 (C4 (Web Text))

Max Activating Token Index: 558

Text #2

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Data Index: 1401627 (Python Code)

Max Activating Token Index: 186

Text #3

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Max Act: 0.0753. Min Act: -0.0003

Data Index: 473133 (C4 (Web Text))

Max Activating Token Index: 630

Text #4

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Data Index: 746883 (C4 (Web Text))

Max Activating Token Index: 557

Text #5

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Data Index: 376724 (C4 (Web Text))

Max Activating Token Index: 737

Text #6

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Text #7

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Max Activating Token Index: 563

Text #8

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Text #9

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Text #10

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Text #11

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Text #12

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Max Activating Token Index: 200

Text #13

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Max Activating Token Index: 247

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: 486

Text #19

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Data Index: 859299 (C4 (Web Text))

Max Activating Token Index: 41