Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1898 in Layer 1

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

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Max Act: 0.0183. Min Act: -0.0006

Data Index: 1606474 (Python Code)

Max Activating Token Index: 888

Text #1

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Data Index: 1428748 (Python Code)

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Text #2

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Data Index: 1479884 (Python Code)

Max Activating Token Index: 286

Text #3

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Max Act: 0.0170. Min Act: -0.0006

Data Index: 1532443 (Python Code)

Max Activating Token Index: 888

Text #4

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Data Index: 1485232 (Python Code)

Max Activating Token Index: 467

Text #5

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Data Index: 1600612 (Python Code)

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Text #6

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Data Index: 1433220 (Python Code)

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Text #7

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Data Index: 1581408 (Python Code)

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Text #8

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Data Index: 1448592 (Python Code)

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Data Index: 1410557 (Python Code)

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Text #10

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Data Index: 1437083 (Python Code)

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Data Index: 1444355 (Python Code)

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Text #12

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Data Index: 1487860 (Python Code)

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Text #13

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Data Index: 1632478 (Python Code)

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Text #14

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Data Index: 1459806 (Python Code)

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Text #15

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Data Index: 1376465 (Python Code)

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Text #16

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Text #17

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Data Index: 1482067 (Python Code)

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Data Index: 1474320 (Python Code)

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Text #19

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Data Index: 1542431 (Python Code)

Max Activating Token Index: 863