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

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

Neuron 91 in Layer 0

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

Text #0

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0101. Min Act: -0.0006

Data Index: 1479647 (Python Code)

Max Activating Token Index: 714

Text #1

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0096. Min Act: -0.0006

Data Index: 1549477 (Python Code)

Max Activating Token Index: 713

Text #2

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0097. Min Act: -0.0006

Data Index: 321948 (C4 (Web Text))

Max Activating Token Index: 452

Text #3

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0094. Min Act: -0.0006

Data Index: 1402139 (Python Code)

Max Activating Token Index: 1010

Text #4

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0096. Min Act: -0.0006

Data Index: 1600860 (Python Code)

Max Activating Token Index: 598

Text #5

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0098. Min Act: -0.0006

Data Index: 103388 (C4 (Web Text))

Max Activating Token Index: 1014

Text #6

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0097. Min Act: -0.0005

Data Index: 1400226 (Python Code)

Max Activating Token Index: 475

Text #7

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0094. Min Act: -0.0005

Data Index: 1503492 (Python Code)

Max Activating Token Index: 61

Text #8

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0096. Min Act: -0.0006

Data Index: 1465518 (Python Code)

Max Activating Token Index: 381

Text #9

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0094. Min Act: -0.0005

Data Index: 1631549 (Python Code)

Max Activating Token Index: 886

Text #10

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0096. Min Act: -0.0006

Data Index: 1529321 (Python Code)

Max Activating Token Index: 516

Text #11

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0095. Min Act: -0.0006

Data Index: 1487822 (Python Code)

Max Activating Token Index: 433

Text #12

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0095. Min Act: -0.0006

Data Index: 1516591 (Python Code)

Max Activating Token Index: 870

Text #13

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Max Act: 0.0091. Min Act: -0.0005

Data Index: 1480791 (Python Code)

Max Activating Token Index: 963

Text #14

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0093. Min Act: -0.0006

Data Index: 1450174 (Python Code)

Max Activating Token Index: 449

Text #15

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0093. Min Act: -0.0006

Data Index: 1384400 (Python Code)

Max Activating Token Index: 508

Text #16

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0092. Min Act: -0.0006

Data Index: 1379195 (Python Code)

Max Activating Token Index: 742

Text #17

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0092. Min Act: -0.0006

Data Index: 1587022 (Python Code)

Max Activating Token Index: 260

Text #18

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0093. Min Act: -0.0005

Data Index: 1501934 (Python Code)

Max Activating Token Index: 705

Text #19

Max Range: 0.0101. Min Range: -0.0101

Max Act: 0.0091. Min Act: -0.0005

Data Index: 1504731 (Python Code)

Max Activating Token Index: 665