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

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

Neuron 587 in Layer 0

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

Text #0

Max Range: 0.0104. Min Range: -0.0104

Max Act: 0.0104. Min Act: -0.0002

Data Index: 1458926 (Python Code)

Max Activating Token Index: 1023

Text #1

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Max Act: 0.0100. Min Act: -0.0003

Data Index: 1432463 (Python Code)

Max Activating Token Index: 1023

Text #2

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Max Act: 0.0095. Min Act: -0.0003

Data Index: 1398717 (Python Code)

Max Activating Token Index: 1023

Text #3

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Max Act: 0.0093. Min Act: -0.0002

Data Index: 1514317 (Python Code)

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0094. Min Act: -0.0003

Data Index: 1530394 (Python Code)

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0094. Min Act: -0.0003

Data Index: 1417305 (Python Code)

Max Activating Token Index: 1023

Text #6

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Max Act: 0.0093. Min Act: -0.0003

Data Index: 1511521 (Python Code)

Max Activating Token Index: 1023

Text #7

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Data Index: 1594995 (Python Code)

Max Activating Token Index: 1023

Text #8

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Data Index: 1425880 (Python Code)

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Text #9

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Data Index: 1564048 (Python Code)

Max Activating Token Index: 1023

Text #10

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Data Index: 1461518 (Python Code)

Max Activating Token Index: 1023

Text #11

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Data Index: 1487046 (Python Code)

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Text #12

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Data Index: 1573768 (Python Code)

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Text #13

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Data Index: 1488667 (Python Code)

Max Activating Token Index: 1023

Text #14

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Data Index: 1431134 (Python Code)

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Text #15

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Data Index: 1479945 (Python Code)

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Text #16

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Data Index: 1509612 (Python Code)

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Text #17

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Data Index: 1493852 (Python Code)

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Text #18

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Max Act: 0.0090. Min Act: -0.0002

Data Index: 1586473 (Python Code)

Max Activating Token Index: 1023

Text #19

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Max Act: 0.0090. Min Act: -0.0003

Data Index: 1477841 (Python Code)

Max Activating Token Index: 1023