Model: SoLU Model: 3 Layers, 2048 Neurons per Layer

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

Neuron 1748 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-3l')

Text #0

Max Range: 0.0125. Min Range: -0.0125

Max Act: 0.0125. Min Act: -0.0005

Data Index: 1434941 (Python Code)

Max Activating Token Index: 1015

Text #1

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Max Act: 0.0108. Min Act: -0.0005

Data Index: 1485567 (Python Code)

Max Activating Token Index: 966

Text #2

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Max Act: 0.0104. Min Act: -0.0005

Data Index: 1376379 (Python Code)

Max Activating Token Index: 955

Text #3

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Max Act: 0.0103. Min Act: -0.0006

Data Index: 1377759 (Python Code)

Max Activating Token Index: 987

Text #4

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Max Act: 0.0102. Min Act: -0.0005

Data Index: 1553214 (Python Code)

Max Activating Token Index: 378

Text #5

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Max Act: 0.0100. Min Act: -0.0005

Data Index: 1451297 (Python Code)

Max Activating Token Index: 434

Text #6

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Data Index: 1643602 (Python Code)

Max Activating Token Index: 883

Text #7

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Max Act: 0.0102. Min Act: -0.0006

Data Index: 161178 (C4 (Web Text))

Max Activating Token Index: 290

Text #8

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Data Index: 1448133 (Python Code)

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Text #9

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Data Index: 1606177 (Python Code)

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Text #10

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Data Index: 1380360 (Python Code)

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Text #11

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Data Index: 1437184 (Python Code)

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Text #12

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Data Index: 1375023 (Python Code)

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Text #13

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Data Index: 1643585 (Python Code)

Max Activating Token Index: 882

Text #14

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Data Index: 1386325 (Python Code)

Max Activating Token Index: 985

Text #15

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Data Index: 1374589 (Python Code)

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Text #16

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Data Index: 1538700 (Python Code)

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Text #17

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Data Index: 1374173 (Python Code)

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Text #18

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Data Index: 1520347 (Python Code)

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Text #19

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Max Act: 0.0098. Min Act: -0.0005

Data Index: 1625473 (Python Code)

Max Activating Token Index: 965