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

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

Neuron 944 in Layer 0

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

Text #0

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Max Act: 0.0265. Min Act: -0.0003

Data Index: 1494082 (Python Code)

Max Activating Token Index: 35

Text #1

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Max Act: 0.0264. Min Act: -0.0004

Data Index: 1612995 (Python Code)

Max Activating Token Index: 803

Text #2

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Max Act: 0.0260. Min Act: -0.0004

Data Index: 1599966 (Python Code)

Max Activating Token Index: 137

Text #3

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Max Act: 0.0242. Min Act: -0.0003

Data Index: 1437194 (Python Code)

Max Activating Token Index: 22

Text #4

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Max Act: 0.0242. Min Act: -0.0004

Data Index: 1383385 (Python Code)

Max Activating Token Index: 165

Text #5

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Max Act: 0.0240. Min Act: -0.0004

Data Index: 1433698 (Python Code)

Max Activating Token Index: 11

Text #6

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Data Index: 1511633 (Python Code)

Max Activating Token Index: 238

Text #7

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Data Index: 1546208 (Python Code)

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Text #8

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Data Index: 1477324 (Python Code)

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Text #9

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Data Index: 1496519 (Python Code)

Max Activating Token Index: 308

Text #10

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Data Index: 1417830 (Python Code)

Max Activating Token Index: 850

Text #11

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Data Index: 1403734 (Python Code)

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Text #12

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Data Index: 1371787 (Python Code)

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Text #13

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Data Index: 1376117 (Python Code)

Max Activating Token Index: 232

Text #14

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Data Index: 1572746 (Python Code)

Max Activating Token Index: 550

Text #15

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Data Index: 1561416 (Python Code)

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Text #16

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Data Index: 1579603 (Python Code)

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Text #17

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Data Index: 1387654 (Python Code)

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Text #18

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Data Index: 1651981 (Python Code)

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Text #19

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Max Act: 0.0230. Min Act: -0.0004

Data Index: 1385432 (Python Code)

Max Activating Token Index: 109