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

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

Neuron 1392 in Layer 0

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

Text #0

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Max Act: 0.0593. Min Act: -0.0004

Data Index: 1648655 (Python Code)

Max Activating Token Index: 1001

Text #1

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Max Act: 0.0571. Min Act: -0.0004

Data Index: 1488831 (Python Code)

Max Activating Token Index: 13

Text #2

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Data Index: 1646391 (Python Code)

Max Activating Token Index: 128

Text #3

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Max Act: 0.0562. Min Act: -0.0004

Data Index: 1506598 (Python Code)

Max Activating Token Index: 286

Text #4

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Data Index: 1610967 (Python Code)

Max Activating Token Index: 200

Text #5

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Data Index: 1442225 (Python Code)

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Text #6

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Data Index: 1398142 (Python Code)

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Text #7

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Data Index: 1654811 (Python Code)

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Text #8

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Data Index: 1403505 (Python Code)

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Text #9

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Data Index: 1441975 (Python Code)

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Text #10

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Data Index: 1499198 (Python Code)

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Text #11

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Data Index: 1495658 (Python Code)

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Text #12

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Data Index: 1521447 (Python Code)

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Text #13

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Data Index: 1604568 (Python Code)

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Text #14

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Data Index: 1554337 (Python Code)

Max Activating Token Index: 551

Text #15

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Data Index: 1523360 (Python Code)

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Text #16

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Data Index: 1465738 (Python Code)

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Text #17

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Data Index: 1544598 (Python Code)

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Text #18

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Data Index: 1628989 (Python Code)

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Text #19

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Data Index: 1599303 (Python Code)

Max Activating Token Index: 331