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

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

Neuron 2009 in Layer 2

Load this data into an Interactive Neuroscope

See Documentation here

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

Text #0

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Data Index: 842882 (C4 (Web Text))

Max Activating Token Index: 858

Text #1

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Max Activating Token Index: 991

Text #2

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Max Activating Token Index: 803

Text #3

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Data Index: 106475 (C4 (Web Text))

Max Activating Token Index: 387

Text #4

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Max Activating Token Index: 208

Text #5

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Max Activating Token Index: 669

Text #6

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Max Activating Token Index: 239

Text #9

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Text #10

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Max Activating Token Index: 975

Text #12

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Max Activating Token Index: 93

Text #13

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Text #14

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Text #15

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Text #16

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Max Activating Token Index: 1000

Text #17

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Text #18

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Text #19

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Data Index: 464643 (C4 (Web Text))

Max Activating Token Index: 848