Model: SoLU Model: 6 Layers, 3072 Neurons per Layer

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

Neuron 225 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-6l')

Text #0

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Max Act: 0.0040. Min Act: -0.0004

Data Index: 467009 (C4 (Web Text))

Max Activating Token Index: 67

Text #1

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Data Index: 678241 (C4 (Web Text))

Max Activating Token Index: 899

Text #2

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Data Index: 33637 (C4 (Web Text))

Max Activating Token Index: 704

Text #3

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Max Act: 0.0038. Min Act: -0.0003

Data Index: 594539 (C4 (Web Text))

Max Activating Token Index: 468

Text #4

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Data Index: 70210 (C4 (Web Text))

Max Activating Token Index: 621

Text #5

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Data Index: 58741 (C4 (Web Text))

Max Activating Token Index: 340

Text #6

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Max Activating Token Index: 67

Text #7

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Text #8

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Text #9

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Text #10

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Text #11

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Text #12

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Text #13

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Text #14

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Text #15

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Text #16

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Text #17

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Text #18

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Max Activating Token Index: 311

Text #19

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Data Index: 811998 (C4 (Web Text))

Max Activating Token Index: 775