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

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

Neuron 1947 in Layer 3

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0787. Min Act: -0.0002

Data Index: 783733 (C4 (Web Text))

Max Activating Token Index: 181

Text #1

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Data Index: 253488 (C4 (Web Text))

Max Activating Token Index: 264

Text #2

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Max Activating Token Index: 1008

Text #3

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Max Act: 0.0727. Min Act: -0.0002

Data Index: 233233 (C4 (Web Text))

Max Activating Token Index: 780

Text #4

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Data Index: 28995 (C4 (Web Text))

Max Activating Token Index: 789

Text #5

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Data Index: 484001 (C4 (Web Text))

Max Activating Token Index: 108

Text #6

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Max Activating Token Index: 446

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Max Activating Token Index: 993

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Max Activating Token Index: 951

Text #10

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Max Activating Token Index: 103

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Max Activating Token Index: 182

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Max Activating Token Index: 34

Text #13

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Max Activating Token Index: 407

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 387

Text #18

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Text #19

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Data Index: 866400 (C4 (Web Text))

Max Activating Token Index: 860