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Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 1574 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')



Text #0

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Max Act: 0.0094. Min Act: -0.0005

Data Index: 1450596 (Python Code)

Max Activating Token Index: 1002

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Text #1

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Max Act: 0.0091. Min Act: -0.0004

Data Index: 1532709 (Python Code)

Max Activating Token Index: 994

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Text #2

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Max Act: 0.0091. Min Act: -0.0004

Data Index: 1596222 (Python Code)

Max Activating Token Index: 377

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Text #3

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Max Act: 0.0089. Min Act: -0.0004

Data Index: 1459553 (Python Code)

Max Activating Token Index: 346

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Text #4

Max Range: 0.0094. Min Range: -0.0094

Max Act: 0.0088. Min Act: -0.0005

Data Index: 474486 (C4 (Web Text))

Max Activating Token Index: 994

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Text #5

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Data Index: 1524642 (Python Code)

Max Activating Token Index: 1019

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Text #6

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Data Index: 159822 (C4 (Web Text))

Max Activating Token Index: 295

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Text #7

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Data Index: 1591058 (Python Code)

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Text #8

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Max Act: 0.0080. Min Act: -0.0005

Data Index: 1329704 (C4 (Web Text))

Max Activating Token Index: 340

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Text #9

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Data Index: 1484549 (Python Code)

Max Activating Token Index: 1019

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Text #10

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Data Index: 1604237 (Python Code)

Max Activating Token Index: 336

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Text #11

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Data Index: 1554533 (Python Code)

Max Activating Token Index: 1007

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Text #12

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Data Index: 1414775 (Python Code)

Max Activating Token Index: 1000

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Text #13

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Data Index: 1383135 (Python Code)

Max Activating Token Index: 1006

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Text #14

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Data Index: 1494780 (Python Code)

Max Activating Token Index: 1011

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Text #15

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Data Index: 1257780 (C4 (Web Text))

Max Activating Token Index: 347

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Text #16

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Data Index: 1465490 (Python Code)

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Text #17

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Data Index: 1568149 (Python Code)

Max Activating Token Index: 373

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Text #18

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Max Act: 0.0076. Min Act: -0.0005

Data Index: 1599646 (Python Code)

Max Activating Token Index: 324

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Text #19

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Max Act: 0.0075. Min Act: -0.0005

Data Index: 408362 (C4 (Web Text))

Max Activating Token Index: 347

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