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

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

Neuron 364 in Layer 1

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

Text #0

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Max Act: 0.0547. Min Act: 0.0000

Data Index: 1465573 (Python Code)

Max Activating Token Index: 526

Text #1

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Data Index: 1599350 (Python Code)

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Text #2

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Data Index: 1441967 (Python Code)

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Text #3

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Data Index: 1491071 (Python Code)

Max Activating Token Index: 81

Text #4

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Data Index: 1564379 (Python Code)

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Text #5

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Data Index: 1424080 (Python Code)

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Text #6

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Data Index: 1648873 (Python Code)

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Text #7

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Data Index: 1655909 (Python Code)

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Text #8

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Data Index: 1411693 (Python Code)

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Text #9

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Data Index: 1621494 (Python Code)

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Text #10

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Text #11

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Data Index: 1528857 (Python Code)

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Text #12

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Data Index: 1614960 (Python Code)

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Text #13

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Data Index: 1531210 (Python Code)

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Text #14

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Data Index: 1578904 (Python Code)

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Text #15

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Data Index: 1384269 (Python Code)

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Text #16

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Text #17

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Data Index: 1540707 (Python Code)

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Text #18

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Data Index: 1379975 (Python Code)

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Text #19

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Data Index: 1470956 (Python Code)

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