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

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

Neuron 2005 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: 0.0476. Min Act: -0.0003

Data Index: 1386351 (Python Code)

Max Activating Token Index: 939

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Text #1

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Max Act: 0.0382. Min Act: -0.0003

Data Index: 1522288 (Python Code)

Max Activating Token Index: 983

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Text #2

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Max Act: 0.0363. Min Act: -0.0003

Data Index: 1476158 (Python Code)

Max Activating Token Index: 406

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Text #3

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Max Act: 0.0363. Min Act: -0.0003

Data Index: 1579549 (Python Code)

Max Activating Token Index: 867

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Text #4

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Data Index: 1655256 (Python Code)

Max Activating Token Index: 30

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Text #5

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Data Index: 1440696 (Python Code)

Max Activating Token Index: 358

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Text #6

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Data Index: 1645064 (Python Code)

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Text #7

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Data Index: 1601017 (Python Code)

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Text #8

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Data Index: 1401611 (Python Code)

Max Activating Token Index: 141

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Text #9

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Data Index: 1460790 (Python Code)

Max Activating Token Index: 846

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Text #10

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Data Index: 1561784 (Python Code)

Max Activating Token Index: 59

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Text #11

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Data Index: 1442428 (Python Code)

Max Activating Token Index: 37

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Text #12

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Data Index: 1489121 (Python Code)

Max Activating Token Index: 186

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Text #13

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Data Index: 1619387 (Python Code)

Max Activating Token Index: 740

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Text #14

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Data Index: 1400352 (Python Code)

Max Activating Token Index: 978

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Text #15

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Data Index: 1394700 (Python Code)

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Text #16

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Data Index: 1507051 (Python Code)

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Text #17

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Data Index: 1379513 (Python Code)

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Text #18

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Data Index: 1445735 (Python Code)

Max Activating Token Index: 376

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Text #19

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Data Index: 1631362 (Python Code)

Max Activating Token Index: 571

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