Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 1931 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')

Text #0

Max Range: 0.0089. Min Range: -0.0089

Max Act: 0.0089. Min Act: -0.0002

Data Index: 1511907 (Python Code)

Max Activating Token Index: 341

Text #1

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Max Act: 0.0078. Min Act: -0.0002

Data Index: 1629978 (Python Code)

Max Activating Token Index: 541

Text #2

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Max Act: 0.0077. Min Act: -0.0002

Data Index: 1627052 (Python Code)

Max Activating Token Index: 545

Text #3

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Max Act: 0.0069. Min Act: -0.0002

Data Index: 1447562 (Python Code)

Max Activating Token Index: 803

Text #4

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Max Act: 0.0067. Min Act: -0.0002

Data Index: 1500216 (Python Code)

Max Activating Token Index: 170

Text #5

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Max Act: 0.0066. Min Act: -0.0002

Data Index: 1472227 (Python Code)

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Text #6

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Data Index: 1646272 (Python Code)

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Text #7

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Data Index: 1402987 (Python Code)

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Text #8

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Data Index: 1653404 (Python Code)

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Text #9

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Max Act: 0.0061. Min Act: -0.0003

Data Index: 972062 (C4 (Web Text))

Max Activating Token Index: 282

Text #10

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Data Index: 1555859 (Python Code)

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Text #11

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Data Index: 1487999 (Python Code)

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Text #12

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Data Index: 1543116 (Python Code)

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Text #13

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Data Index: 1590155 (Python Code)

Max Activating Token Index: 704

Text #14

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Data Index: 1621328 (Python Code)

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Text #15

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Data Index: 1653843 (Python Code)

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Text #16

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Data Index: 1566773 (Python Code)

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Text #17

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Data Index: 1459676 (Python Code)

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Text #18

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Data Index: 1417427 (Python Code)

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Text #19

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Max Act: 0.0058. Min Act: -0.0002

Data Index: 1645980 (Python Code)

Max Activating Token Index: 206