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Model: SoLU Model: 12 Layers, 6144 Neurons per Layer

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

Neuron 4258 in Layer 6

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-12l')



Text #0

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Max Act: 1.3836. Min Act: -0.0000

Data Index: 1514005 (Python Code)

Max Activating Token Index: 25

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Text #1

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Max Act: 1.2860. Min Act: -0.0000

Data Index: 1629367 (Python Code)

Max Activating Token Index: 253

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Text #2

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Max Act: 1.3542. Min Act: -0.0000

Data Index: 1581525 (Python Code)

Max Activating Token Index: 317

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Text #3

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Max Act: 1.1451. Min Act: -0.0000

Data Index: 1446404 (Python Code)

Max Activating Token Index: 902

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Text #4

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Max Act: 1.2103. Min Act: -0.0000

Data Index: 1174535 (C4 (Web Text))

Max Activating Token Index: 55

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Text #5

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Data Index: 1642455 (Python Code)

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Text #6

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Data Index: 1581049 (Python Code)

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Text #7

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Data Index: 1454107 (Python Code)

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Text #8

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Data Index: 1621730 (Python Code)

Max Activating Token Index: 304

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Text #9

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Data Index: 1642489 (Python Code)

Max Activating Token Index: 618

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Text #10

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Data Index: 1403687 (Python Code)

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Text #11

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Data Index: 1474288 (Python Code)

Max Activating Token Index: 815

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Text #12

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Data Index: 1521231 (Python Code)

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Text #13

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Data Index: 1641570 (Python Code)

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Text #14

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Data Index: 1407770 (Python Code)

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Text #15

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Text #16

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Max Act: 1.1214. Min Act: -0.0000

Data Index: 43633 (C4 (Web Text))

Max Activating Token Index: 726

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Text #17

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Data Index: 1384188 (Python Code)

Max Activating Token Index: 498

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Text #18

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Data Index: 1563261 (Python Code)

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Text #19

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Data Index: 1516939 (Python Code)

Max Activating Token Index: 388

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