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

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

Neuron 1943 in Layer 0

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

Text #0

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Max Act: 0.0092. Min Act: -0.0006

Data Index: 1384404 (Python Code)

Max Activating Token Index: 229

Text #1

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Max Act: 0.0087. Min Act: -0.0006

Data Index: 1444402 (Python Code)

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Text #2

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Max Act: 0.0086. Min Act: -0.0006

Data Index: 1541176 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0085. Min Act: -0.0005

Data Index: 1469900 (Python Code)

Max Activating Token Index: 622

Text #4

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Max Act: 0.0083. Min Act: -0.0005

Data Index: 1466675 (Python Code)

Max Activating Token Index: 159

Text #5

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Data Index: 1646235 (Python Code)

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Text #6

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Data Index: 1468445 (Python Code)

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Text #7

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Data Index: 1629125 (Python Code)

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Text #8

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Data Index: 1475078 (Python Code)

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Text #9

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Data Index: 1408043 (Python Code)

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Text #10

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Data Index: 1465559 (Python Code)

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Text #11

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Data Index: 1558967 (Python Code)

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Text #12

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Data Index: 1624261 (Python Code)

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Text #13

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Data Index: 1557301 (Python Code)

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Text #14

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Data Index: 1459255 (Python Code)

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Text #15

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Data Index: 1428292 (Python Code)

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Text #16

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Data Index: 1560892 (Python Code)

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Text #17

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Data Index: 1510291 (Python Code)

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Text #18

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Data Index: 1424391 (Python Code)

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Text #19

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Max Act: 0.0078. Min Act: -0.0006

Data Index: 1447416 (Python Code)

Max Activating Token Index: 911