Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 2100 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

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Max Act: 0.0574. Min Act: -0.0003

Data Index: 377182 (C4 (Web Text))

Max Activating Token Index: 290

Text #1

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Max Act: 0.0600. Min Act: -0.0003

Data Index: 118253 (C4 (Web Text))

Max Activating Token Index: 284

Text #2

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Max Act: 0.0588. Min Act: -0.0004

Data Index: 1307589 (C4 (Web Text))

Max Activating Token Index: 708

Text #3

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Max Act: 0.0569. Min Act: -0.0003

Data Index: 976773 (C4 (Web Text))

Max Activating Token Index: 950

Text #4

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Max Act: 0.0533. Min Act: -0.0003

Data Index: 94360 (C4 (Web Text))

Max Activating Token Index: 555

Text #5

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Max Act: 0.0538. Min Act: -0.0003

Data Index: 546006 (C4 (Web Text))

Max Activating Token Index: 246

Text #6

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Max Activating Token Index: 155

Text #7

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Text #8

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Max Activating Token Index: 663

Text #9

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Data Index: 866771 (C4 (Web Text))

Max Activating Token Index: 650

Text #10

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Data Index: 341010 (C4 (Web Text))

Max Activating Token Index: 248

Text #11

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Data Index: 88713 (C4 (Web Text))

Max Activating Token Index: 543

Text #12

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Max Activating Token Index: 870

Text #13

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Data Index: 1191151 (C4 (Web Text))

Max Activating Token Index: 466

Text #14

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Data Index: 1174452 (C4 (Web Text))

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 366

Text #18

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Data Index: 349007 (C4 (Web Text))

Max Activating Token Index: 405

Text #19

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Data Index: 1355632 (C4 (Web Text))

Max Activating Token Index: 665