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Model: SoLU Model: 1 Layers, 2048 Neurons per Layer

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

Neuron 96 in Layer 0

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Hooked Transformer Loading: HookedTransformer.from_pretrained('solu-1l')

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Text #0

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Max Act: 0.0420. Min Act: -0.0003

Data Index: 1411480 (Python Code)

Max Activating Token Index: 436

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Text #1

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Max Act: 0.0408. Min Act: -0.0003

Data Index: 1379631 (Python Code)

Max Activating Token Index: 355

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Text #2

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Max Act: 0.0400. Min Act: -0.0003

Data Index: 1391576 (Python Code)

Max Activating Token Index: 514

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Text #3

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Max Act: 0.0405. Min Act: -0.0003

Data Index: 1527160 (Python Code)

Max Activating Token Index: 496

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Text #4

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Data Index: 1405535 (Python Code)

Max Activating Token Index: 421

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Text #5

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Data Index: 1434143 (Python Code)

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Data Index: 1614076 (Python Code)

Max Activating Token Index: 473

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Text #7

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Data Index: 1473717 (Python Code)

Max Activating Token Index: 904

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Text #8

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Data Index: 1475157 (Python Code)

Max Activating Token Index: 970

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Text #9

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Data Index: 1551240 (Python Code)

Max Activating Token Index: 590

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Text #10

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Data Index: 1639412 (Python Code)

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Text #11

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Data Index: 1571473 (Python Code)

Max Activating Token Index: 631

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Text #12

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Data Index: 1512122 (Python Code)

Max Activating Token Index: 427

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Text #13

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Data Index: 1397304 (Python Code)

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Text #14

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Data Index: 1428435 (Python Code)

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Text #15

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Data Index: 1442854 (Python Code)

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Text #16

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Data Index: 1419694 (Python Code)

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Text #17

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Data Index: 1615973 (Python Code)

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Text #18

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Data Index: 1643207 (Python Code)

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Text #19

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Data Index: 1531455 (Python Code)

Max Activating Token Index: 839

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