Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 4306 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Max Act: 0.0364. Min Act: -0.0002

Data Index: 1629948 (Python Code)

Max Activating Token Index: 141

Text #1

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Max Act: 0.0337. Min Act: -0.0002

Data Index: 1424675 (Python Code)

Max Activating Token Index: 764

Text #2

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Max Act: 0.0334. Min Act: -0.0002

Data Index: 1493609 (Python Code)

Max Activating Token Index: 32

Text #3

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Max Act: 0.0321. Min Act: -0.0002

Data Index: 1583787 (Python Code)

Max Activating Token Index: 968

Text #4

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Max Act: 0.0333. Min Act: -0.0002

Data Index: 1535621 (Python Code)

Max Activating Token Index: 69

Text #5

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Max Act: 0.0332. Min Act: -0.0002

Data Index: 1494724 (Python Code)

Max Activating Token Index: 912

Text #6

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Data Index: 1634834 (Python Code)

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Text #7

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Data Index: 1653616 (Python Code)

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Text #8

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Data Index: 1405295 (Python Code)

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Text #9

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Data Index: 1405873 (Python Code)

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Text #10

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Data Index: 1512016 (Python Code)

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Text #11

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Data Index: 1557534 (Python Code)

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Text #12

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Data Index: 1654152 (Python Code)

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Text #13

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Data Index: 1497283 (Python Code)

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Text #14

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Data Index: 1425005 (Python Code)

Max Activating Token Index: 556

Text #15

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Data Index: 1644776 (Python Code)

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Text #16

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Data Index: 1426376 (Python Code)

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Text #17

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Data Index: 1611293 (Python Code)

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Text #18

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Data Index: 1586517 (Python Code)

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Text #19

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Max Act: 0.0319. Min Act: -0.0002

Data Index: 1482729 (Python Code)

Max Activating Token Index: 22