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

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

Neuron 1290 in Layer 0

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

Text #0

Max Range: 0.0185. Min Range: -0.0185

Max Act: 0.0185. Min Act: -0.0006

Data Index: 1622973 (Python Code)

Max Activating Token Index: 234

Text #1

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Max Act: 0.0179. Min Act: -0.0006

Data Index: 1600342 (Python Code)

Max Activating Token Index: 60

Text #2

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Max Act: 0.0174. Min Act: -0.0006

Data Index: 1616903 (Python Code)

Max Activating Token Index: 639

Text #3

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Max Act: 0.0169. Min Act: -0.0006

Data Index: 1370294 (Python Code)

Max Activating Token Index: 54

Text #4

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Max Act: 0.0161. Min Act: -0.0006

Data Index: 1366237 (Python Code)

Max Activating Token Index: 768

Text #5

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Max Act: 0.0162. Min Act: -0.0006

Data Index: 1377441 (Python Code)

Max Activating Token Index: 997

Text #6

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Data Index: 1641430 (Python Code)

Max Activating Token Index: 24

Text #7

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Data Index: 1414185 (Python Code)

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Text #8

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Data Index: 1576048 (Python Code)

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Text #9

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Data Index: 1639030 (Python Code)

Max Activating Token Index: 966

Text #10

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Data Index: 1395958 (Python Code)

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Text #11

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Data Index: 1472231 (Python Code)

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Text #12

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Data Index: 1421255 (Python Code)

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Text #13

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Data Index: 1604503 (Python Code)

Max Activating Token Index: 731

Text #14

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Data Index: 1447651 (Python Code)

Max Activating Token Index: 12

Text #15

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Data Index: 1508160 (Python Code)

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Text #16

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Data Index: 1464695 (Python Code)

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Text #17

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Data Index: 1578312 (Python Code)

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Text #18

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Data Index: 1638385 (Python Code)

Max Activating Token Index: 265

Text #19

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Max Act: 0.0154. Min Act: -0.0005

Data Index: 1389206 (Python Code)

Max Activating Token Index: 488