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

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

Neuron 2317 in Layer 0

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

Text #0

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Max Act: 0.0131. Min Act: -0.0003

Data Index: 1592727 (Python Code)

Max Activating Token Index: 104

Text #1

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Max Act: 0.0126. Min Act: -0.0001

Data Index: 1524163 (Python Code)

Max Activating Token Index: 412

Text #2

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Max Act: 0.0127. Min Act: -0.0003

Data Index: 787821 (C4 (Web Text))

Max Activating Token Index: 358

Text #3

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Max Act: 0.0128. Min Act: -0.0003

Data Index: 698467 (C4 (Web Text))

Max Activating Token Index: 92

Text #4

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Max Act: 0.0119. Min Act: -0.0003

Data Index: 1553437 (Python Code)

Max Activating Token Index: 516

Text #5

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Max Act: 0.0114. Min Act: -0.0003

Data Index: 246982 (C4 (Web Text))

Max Activating Token Index: 75

Text #6

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Data Index: 1430238 (Python Code)

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Text #7

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Data Index: 1418212 (Python Code)

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Text #8

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Data Index: 1377500 (Python Code)

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Text #9

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Data Index: 1558690 (Python Code)

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Text #10

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Data Index: 1486845 (Python Code)

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Text #11

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Data Index: 1382313 (Python Code)

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Text #12

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Data Index: 1305574 (C4 (Web Text))

Max Activating Token Index: 72

Text #13

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Data Index: 1576613 (Python Code)

Max Activating Token Index: 485

Text #14

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Data Index: 1536170 (Python Code)

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Text #15

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Data Index: 1655624 (Python Code)

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Text #16

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Data Index: 75221 (C4 (Web Text))

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Text #17

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Data Index: 150662 (C4 (Web Text))

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Text #18

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Data Index: 1604312 (Python Code)

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Text #19

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Data Index: 1123536 (C4 (Web Text))

Max Activating Token Index: 76