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

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

Neuron 1148 in Layer 0

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

Text #0

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Max Act: 0.0148. Min Act: -0.0005

Data Index: 1485106 (Python Code)

Max Activating Token Index: 558

Text #1

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Max Act: 0.0140. Min Act: -0.0005

Data Index: 1405888 (Python Code)

Max Activating Token Index: 885

Text #2

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Max Act: 0.0142. Min Act: -0.0005

Data Index: 1615742 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0138. Min Act: -0.0005

Data Index: 1653063 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0135. Min Act: -0.0005

Data Index: 1474221 (Python Code)

Max Activating Token Index: 801

Text #5

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Max Act: 0.0135. Min Act: -0.0005

Data Index: 1588821 (Python Code)

Max Activating Token Index: 12

Text #6

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Data Index: 1639271 (Python Code)

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Text #7

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Data Index: 1496154 (Python Code)

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Text #8

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Data Index: 1622716 (Python Code)

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Text #9

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Data Index: 1534845 (Python Code)

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Text #10

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Data Index: 1591800 (Python Code)

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Text #11

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Data Index: 1452936 (Python Code)

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Text #12

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Data Index: 1623223 (Python Code)

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Text #13

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Data Index: 1431695 (Python Code)

Max Activating Token Index: 243

Text #14

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Data Index: 1362329 (Python Code)

Max Activating Token Index: 507

Text #15

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Data Index: 1494201 (Python Code)

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Text #16

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Data Index: 1536402 (Python Code)

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Text #17

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Data Index: 1416650 (Python Code)

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Text #18

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Data Index: 1516960 (Python Code)

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Text #19

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Data Index: 1466732 (Python Code)

Max Activating Token Index: 266