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

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

Neuron 265 in Layer 0

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

Text #0

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Max Act: 0.0111. Min Act: -0.0005

Data Index: 1493274 (Python Code)

Max Activating Token Index: 200

Text #1

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Max Act: 0.0107. Min Act: -0.0005

Data Index: 1191961 (C4 (Web Text))

Max Activating Token Index: 569

Text #2

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Max Act: 0.0095. Min Act: -0.0005

Data Index: 978342 (C4 (Web Text))

Max Activating Token Index: 552

Text #3

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Max Act: 0.0095. Min Act: -0.0005

Data Index: 1463252 (Python Code)

Max Activating Token Index: 1023

Text #4

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Data Index: 1371936 (Python Code)

Max Activating Token Index: 636

Text #5

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Data Index: 1552883 (Python Code)

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Text #6

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Data Index: 851470 (C4 (Web Text))

Max Activating Token Index: 229

Text #7

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Data Index: 1630476 (Python Code)

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Text #8

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Data Index: 1483926 (Python Code)

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Text #9

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Text #10

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Text #11

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Max Activating Token Index: 871

Text #12

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Data Index: 1544374 (Python Code)

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Text #13

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Data Index: 831833 (C4 (Web Text))

Max Activating Token Index: 530

Text #14

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Data Index: 107612 (C4 (Web Text))

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Text #15

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Data Index: 1446965 (Python Code)

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Text #16

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Text #17

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Text #18

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Data Index: 1488368 (Python Code)

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Text #19

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Data Index: 1575173 (Python Code)

Max Activating Token Index: 1023