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

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

Neuron 2260 in Layer 1

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

Text #0

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Max Act: 0.0424. Min Act: -0.0002

Data Index: 1440023 (Python Code)

Max Activating Token Index: 728

Text #1

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Max Act: 0.0404. Min Act: -0.0003

Data Index: 1065383 (C4 (Web Text))

Max Activating Token Index: 379

Text #2

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Max Act: 0.0382. Min Act: -0.0003

Data Index: 1481297 (Python Code)

Max Activating Token Index: 884

Text #3

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Max Act: 0.0373. Min Act: -0.0003

Data Index: 1611567 (Python Code)

Max Activating Token Index: 167

Text #4

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Max Act: 0.0367. Min Act: -0.0003

Data Index: 1589402 (Python Code)

Max Activating Token Index: 276

Text #5

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Data Index: 1508510 (Python Code)

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Text #6

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Data Index: 1497078 (Python Code)

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Text #7

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Data Index: 1409409 (Python Code)

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Text #8

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Data Index: 1367985 (Python Code)

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Data Index: 1416477 (Python Code)

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Text #10

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Data Index: 1373292 (Python Code)

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Text #11

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Text #12

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Data Index: 1654841 (Python Code)

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Text #13

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Data Index: 1330660 (C4 (Web Text))

Max Activating Token Index: 86

Text #14

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Text #15

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Data Index: 1609563 (Python Code)

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Text #16

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Data Index: 85706 (C4 (Web Text))

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Text #17

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Data Index: 1550278 (Python Code)

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Text #18

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Data Index: 106729 (C4 (Web Text))

Max Activating Token Index: 306

Text #19

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Data Index: 1459900 (Python Code)

Max Activating Token Index: 760