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

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

Neuron 2990 in Layer 4

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: 0.0300. Min Act: -0.0001

Data Index: 12381 (C4 (Web Text))

Max Activating Token Index: 218

Text #1

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Max Activating Token Index: 810

Text #2

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Max Activating Token Index: 826

Text #3

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Data Index: 547057 (C4 (Web Text))

Max Activating Token Index: 624

Text #4

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Data Index: 869846 (C4 (Web Text))

Max Activating Token Index: 491

Text #5

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Max Activating Token Index: 221

Text #6

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Text #7

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Text #8

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Max Activating Token Index: 313

Text #9

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Max Activating Token Index: 225

Text #10

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Max Activating Token Index: 572

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Text #12

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Max Activating Token Index: 318

Text #13

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Max Activating Token Index: 760

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: 34195 (C4 (Web Text))

Max Activating Token Index: 510