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

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

Neuron 873 in Layer 2

Load this data into an Interactive Neuroscope

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

Text #0

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Max Act: 0.0952. Min Act: -0.0003

Data Index: 49100 (C4 (Web Text))

Max Activating Token Index: 928

Text #1

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Max Activating Token Index: 423

Text #2

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Max Activating Token Index: 819

Text #3

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Data Index: 165781 (C4 (Web Text))

Max Activating Token Index: 843

Text #4

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Max Activating Token Index: 394

Text #5

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Max Activating Token Index: 53

Text #6

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Text #7

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Text #8

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Text #9

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Text #10

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Max Activating Token Index: 299

Text #11

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Max Activating Token Index: 162

Text #12

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Max Activating Token Index: 169

Text #13

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Max Activating Token Index: 587

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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Text #19

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Data Index: 678043 (C4 (Web Text))

Max Activating Token Index: 216