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

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

Neuron 2842 in Layer 1

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

Text #0

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Max Act: 0.0347. Min Act: -0.0003

Data Index: 1533273 (Python Code)

Max Activating Token Index: 625

Text #1

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Max Act: 0.0312. Min Act: -0.0003

Data Index: 1533892 (Python Code)

Max Activating Token Index: 835

Text #2

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Max Act: 0.0319. Min Act: -0.0003

Data Index: 1541778 (Python Code)

Max Activating Token Index: 234

Text #3

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Max Act: 0.0317. Min Act: -0.0003

Data Index: 1512682 (Python Code)

Max Activating Token Index: 210

Text #4

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Max Act: 0.0309. Min Act: -0.0003

Data Index: 1499474 (Python Code)

Max Activating Token Index: 139

Text #5

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Max Act: 0.0296. Min Act: -0.0003

Data Index: 1387869 (Python Code)

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Text #6

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Data Index: 1617286 (Python Code)

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Text #7

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Data Index: 1485991 (Python Code)

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Text #8

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Data Index: 1621478 (Python Code)

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Text #9

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Data Index: 1430767 (Python Code)

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Text #10

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Data Index: 1643266 (Python Code)

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Text #11

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Data Index: 1472943 (Python Code)

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Text #12

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Data Index: 1513317 (Python Code)

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Text #13

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Data Index: 1479234 (Python Code)

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Text #14

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Data Index: 1400062 (Python Code)

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Text #15

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Data Index: 1449157 (Python Code)

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Text #16

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Data Index: 1655259 (Python Code)

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Text #17

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Data Index: 1653896 (Python Code)

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Text #18

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Data Index: 1408372 (Python Code)

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Text #19

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Data Index: 1478129 (Python Code)

Max Activating Token Index: 888