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

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

Neuron 500 in Layer 0

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

Text #0

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Max Act: 0.0115. Min Act: -0.0004

Data Index: 194786 (C4 (Web Text))

Max Activating Token Index: 909

Text #1

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Data Index: 794226 (C4 (Web Text))

Max Activating Token Index: 491

Text #2

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Data Index: 547336 (C4 (Web Text))

Max Activating Token Index: 581

Text #3

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Max Act: 0.0106. Min Act: -0.0004

Data Index: 349748 (C4 (Web Text))

Max Activating Token Index: 537

Text #4

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Max Act: 0.0106. Min Act: -0.0004

Data Index: 568912 (C4 (Web Text))

Max Activating Token Index: 121

Text #5

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Max Act: 0.0107. Min Act: -0.0004

Data Index: 177336 (C4 (Web Text))

Max Activating Token Index: 262

Text #6

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Data Index: 1116641 (C4 (Web Text))

Max Activating Token Index: 477

Text #7

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Max Activating Token Index: 865

Text #8

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Max Activating Token Index: 591

Text #9

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Data Index: 407225 (C4 (Web Text))

Max Activating Token Index: 232

Text #10

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Data Index: 1126228 (C4 (Web Text))

Max Activating Token Index: 528

Text #11

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Max Activating Token Index: 710

Text #12

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Max Activating Token Index: 111

Text #13

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Max Activating Token Index: 1009

Text #14

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Max Activating Token Index: 34

Text #15

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Text #16

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Text #17

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Max Activating Token Index: 543

Text #18

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Max Activating Token Index: 124

Text #19

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Data Index: 1179072 (C4 (Web Text))

Max Activating Token Index: 447