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

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

Neuron 817 in Layer 0

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

Text #0

Max Range: 0.0126. Min Range: -0.0126

Max Act: 0.0126. Min Act: -0.0002

Data Index: 1596263 (Python Code)

Max Activating Token Index: 805

Text #1

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Max Act: 0.0126. Min Act: -0.0002

Data Index: 1532915 (Python Code)

Max Activating Token Index: 250

Text #2

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Max Act: 0.0110. Min Act: -0.0002

Data Index: 1367384 (Python Code)

Max Activating Token Index: 931

Text #3

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Max Act: 0.0109. Min Act: -0.0002

Data Index: 1571129 (Python Code)

Max Activating Token Index: 514

Text #4

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Max Act: 0.0109. Min Act: -0.0002

Data Index: 1242429 (C4 (Web Text))

Max Activating Token Index: 728

Text #5

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Max Act: 0.0104. Min Act: -0.0002

Data Index: 645890 (C4 (Web Text))

Max Activating Token Index: 225

Text #6

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Data Index: 1182158 (C4 (Web Text))

Max Activating Token Index: 842

Text #7

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Data Index: 1541600 (Python Code)

Max Activating Token Index: 736

Text #8

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Data Index: 1162373 (C4 (Web Text))

Max Activating Token Index: 327

Text #9

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Max Act: 0.0100. Min Act: -0.0002

Data Index: 1104383 (C4 (Web Text))

Max Activating Token Index: 601

Text #10

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Data Index: 1503304 (Python Code)

Max Activating Token Index: 564

Text #11

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Data Index: 1468403 (Python Code)

Max Activating Token Index: 18

Text #12

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Data Index: 1571275 (Python Code)

Max Activating Token Index: 175

Text #13

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Data Index: 1468001 (Python Code)

Max Activating Token Index: 446

Text #14

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Data Index: 1201188 (C4 (Web Text))

Max Activating Token Index: 16

Text #15

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Data Index: 1444435 (Python Code)

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Text #16

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Data Index: 1542363 (Python Code)

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Text #17

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Data Index: 1608312 (Python Code)

Max Activating Token Index: 116

Text #18

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Data Index: 1591145 (Python Code)

Max Activating Token Index: 247

Text #19

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Max Act: 0.0096. Min Act: -0.0002

Data Index: 1368110 (Python Code)

Max Activating Token Index: 235