Model: SoLU Model: 2 Layers, 2048 Neurons per Layer

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

Neuron 1380 in Layer 1

Load this data into an Interactive Neuroscope

See Documentation here

Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')

Text #0

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Data Index: 325573 (C4 (Web Text))

Max Activating Token Index: 924

Text #1

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Max Activating Token Index: 760

Text #2

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Max Activating Token Index: 858

Text #3

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Data Index: 188963 (C4 (Web Text))

Max Activating Token Index: 845

Text #4

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Max Activating Token Index: 579

Text #5

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Max Activating Token Index: 455

Text #6

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Max Activating Token Index: 329

Text #7

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Text #8

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Max Activating Token Index: 966

Text #9

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Text #10

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Max Activating Token Index: 722

Text #11

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Max Activating Token Index: 367

Text #12

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Max Activating Token Index: 654

Text #13

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Max Activating Token Index: 179

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 133

Text #17

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Max Activating Token Index: 614

Text #18

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Max Activating Token Index: 37

Text #19

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Data Index: 327295 (C4 (Web Text))

Max Activating Token Index: 369