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

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

Neuron 298 in Layer 0

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

Text #0

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Max Act: 0.0135. Min Act: -0.0003

Data Index: 905190 (C4 (Web Text))

Max Activating Token Index: 514

Text #1

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Max Act: 0.0131. Min Act: -0.0003

Data Index: 704215 (C4 (Web Text))

Max Activating Token Index: 497

Text #2

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Max Act: 0.0130. Min Act: -0.0003

Data Index: 453681 (C4 (Web Text))

Max Activating Token Index: 503

Text #3

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Max Act: 0.0128. Min Act: -0.0003

Data Index: 801568 (C4 (Web Text))

Max Activating Token Index: 103

Text #4

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Max Act: 0.0121. Min Act: -0.0003

Data Index: 661377 (C4 (Web Text))

Max Activating Token Index: 305

Text #5

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 11503 (C4 (Web Text))

Max Activating Token Index: 282

Text #6

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Data Index: 952013 (C4 (Web Text))

Max Activating Token Index: 530

Text #7

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Max Activating Token Index: 172

Text #8

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Data Index: 146176 (C4 (Web Text))

Max Activating Token Index: 304

Text #9

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Data Index: 542085 (C4 (Web Text))

Max Activating Token Index: 33

Text #10

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Max Activating Token Index: 98

Text #11

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Data Index: 66025 (C4 (Web Text))

Max Activating Token Index: 288

Text #12

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Data Index: 200469 (C4 (Web Text))

Max Activating Token Index: 304

Text #13

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Data Index: 1114206 (C4 (Web Text))

Max Activating Token Index: 236

Text #14

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Text #15

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Text #16

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Text #17

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Max Activating Token Index: 217

Text #18

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Max Activating Token Index: 649

Text #19

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Max Act: 0.0109. Min Act: -0.0003

Data Index: 1077889 (C4 (Web Text))

Max Activating Token Index: 409