Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 2468 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0111. Min Act: -0.0003

Data Index: 1392803 (Python Code)

Max Activating Token Index: 946

Text #1

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Max Act: 0.0111. Min Act: -0.0003

Data Index: 1368396 (Python Code)

Max Activating Token Index: 251

Text #2

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Max Act: 0.0104. Min Act: -0.0003

Data Index: 1595811 (Python Code)

Max Activating Token Index: 835

Text #3

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Max Act: 0.0103. Min Act: -0.0003

Data Index: 1460488 (Python Code)

Max Activating Token Index: 244

Text #4

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Max Act: 0.0105. Min Act: -0.0003

Data Index: 1401371 (Python Code)

Max Activating Token Index: 206

Text #5

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Max Act: 0.0099. Min Act: -0.0003

Data Index: 1569153 (Python Code)

Max Activating Token Index: 740

Text #6

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Data Index: 1638935 (Python Code)

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Text #7

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Data Index: 1627017 (Python Code)

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Text #8

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Data Index: 1598656 (Python Code)

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Text #9

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Data Index: 1394802 (Python Code)

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Text #10

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Data Index: 1657056 (Python Code)

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Text #11

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Data Index: 1578919 (Python Code)

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Text #12

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Data Index: 1545626 (Python Code)

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Text #13

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Data Index: 1467286 (Python Code)

Max Activating Token Index: 466

Text #14

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Data Index: 1492088 (Python Code)

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Text #15

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Data Index: 1516818 (Python Code)

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Text #16

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Data Index: 1456203 (Python Code)

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Text #17

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Data Index: 164500 (C4 (Web Text))

Max Activating Token Index: 186

Text #18

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Data Index: 1421094 (Python Code)

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Text #19

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Max Act: 0.0090. Min Act: -0.0004

Data Index: 1361937 (Python Code)

Max Activating Token Index: 424