Model: SoLU Model: 10 Layers, 5120 Neurons per Layer

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

Neuron 2250 in Layer 2

Load this data into an Interactive Neuroscope

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-10l')

Text #0

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Data Index: 546251 (C4 (Web Text))

Max Activating Token Index: 13

Text #1

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Data Index: 359794 (C4 (Web Text))

Max Activating Token Index: 944

Text #2

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Max Activating Token Index: 976

Text #3

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Data Index: 1020421 (C4 (Web Text))

Max Activating Token Index: 993

Text #4

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Data Index: 1030190 (C4 (Web Text))

Max Activating Token Index: 128

Text #5

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Max Activating Token Index: 117

Text #6

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Max Activating Token Index: 1014

Text #7

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Max Activating Token Index: 948

Text #8

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Max Activating Token Index: 233

Text #9

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Text #10

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Max Activating Token Index: 981

Text #11

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Text #12

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Text #13

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Max Activating Token Index: 64

Text #14

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Text #15

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Text #16

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Max Activating Token Index: 213

Text #17

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Data Index: 1592651 (Python Code)

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Text #18

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Data Index: 112256 (C4 (Web Text))

Max Activating Token Index: 161

Text #19

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Data Index: 1271309 (C4 (Web Text))

Max Activating Token Index: 260