Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 2015 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

Max Range: 0.0594. Min Range: -0.0594

Max Act: 0.0594. Min Act: -0.0004

Data Index: 1484858 (Python Code)

Max Activating Token Index: 202

Text #1

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Max Act: 0.0557. Min Act: -0.0004

Data Index: 1639264 (Python Code)

Max Activating Token Index: 788

Text #2

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Max Act: 0.0551. Min Act: -0.0004

Data Index: 1444088 (Python Code)

Max Activating Token Index: 9

Text #3

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Max Act: 0.0542. Min Act: -0.0004

Data Index: 1548042 (Python Code)

Max Activating Token Index: 1021

Text #4

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Max Act: 0.0526. Min Act: -0.0004

Data Index: 1489775 (Python Code)

Max Activating Token Index: 126

Text #5

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Max Act: 0.0535. Min Act: -0.0004

Data Index: 1540416 (Python Code)

Max Activating Token Index: 888

Text #6

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Data Index: 1595385 (Python Code)

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Text #7

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Data Index: 1470290 (Python Code)

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Text #8

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Data Index: 1412576 (Python Code)

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Text #9

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Data Index: 1460935 (Python Code)

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Text #10

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Data Index: 1512397 (Python Code)

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Text #11

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Data Index: 1535147 (Python Code)

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Text #12

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Data Index: 1372843 (Python Code)

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Text #13

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Data Index: 1639680 (Python Code)

Max Activating Token Index: 890

Text #14

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Data Index: 1635049 (Python Code)

Max Activating Token Index: 888

Text #15

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Data Index: 1525612 (Python Code)

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Text #16

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Data Index: 1414479 (Python Code)

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Text #17

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Data Index: 1410590 (Python Code)

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Text #18

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Data Index: 1578842 (Python Code)

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Text #19

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Max Act: 0.0504. Min Act: -0.0004

Data Index: 1500205 (Python Code)

Max Activating Token Index: 1000