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

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

Neuron 806 in Layer 1

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



Text #0

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Max Act: 0.0053. Min Act: -0.0006

Data Index: 1604030 (Python Code)

Max Activating Token Index: 1023

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Text #1

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Max Act: 0.0048. Min Act: -0.0006

Data Index: 1376731 (Python Code)

Max Activating Token Index: 1023

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Text #2

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Max Act: 0.0047. Min Act: -0.0006

Data Index: 1418904 (Python Code)

Max Activating Token Index: 1023

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Text #3

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Max Act: 0.0048. Min Act: -0.0006

Data Index: 1557262 (Python Code)

Max Activating Token Index: 1023

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Text #4

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Max Act: 0.0046. Min Act: -0.0006

Data Index: 1635426 (Python Code)

Max Activating Token Index: 1023

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Text #5

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Max Act: 0.0047. Min Act: -0.0005

Data Index: 476806 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #6

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Data Index: 1609850 (Python Code)

Max Activating Token Index: 1023

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Text #7

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Data Index: 1566594 (Python Code)

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Text #8

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Data Index: 1426943 (Python Code)

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Text #9

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Max Act: 0.0045. Min Act: -0.0006

Data Index: 1532255 (Python Code)

Max Activating Token Index: 1023

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Text #10

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Data Index: 1361789 (Python Code)

Max Activating Token Index: 1023

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Text #11

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Data Index: 627370 (C4 (Web Text))

Max Activating Token Index: 1023

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Text #12

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Data Index: 1565833 (Python Code)

Max Activating Token Index: 1023

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Text #13

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Data Index: 1564114 (Python Code)

Max Activating Token Index: 1023

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Text #14

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Data Index: 1632862 (Python Code)

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Text #15

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Data Index: 1630597 (Python Code)

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Text #16

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Data Index: 1435816 (Python Code)

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Text #17

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Data Index: 1515942 (Python Code)

Max Activating Token Index: 1023

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Text #18

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Data Index: 1405251 (Python Code)

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Text #19

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Max Act: 0.0043. Min Act: -0.0005

Data Index: 1469278 (Python Code)

Max Activating Token Index: 1023

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