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

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

Neuron 160 in Layer 1

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

Text #0

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Max Act: 0.0136. Min Act: -0.0004

Data Index: 1366823 (Python Code)

Max Activating Token Index: 340

Text #1

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Max Act: 0.0134. Min Act: -0.0004

Data Index: 1488944 (Python Code)

Max Activating Token Index: 192

Text #2

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Max Act: 0.0130. Min Act: -0.0004

Data Index: 1590420 (Python Code)

Max Activating Token Index: 63

Text #3

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Max Act: 0.0129. Min Act: -0.0004

Data Index: 297491 (C4 (Web Text))

Max Activating Token Index: 1023

Text #4

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Max Act: 0.0121. Min Act: -0.0004

Data Index: 1344601 (C4 (Web Text))

Max Activating Token Index: 1023

Text #5

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Max Act: 0.0118. Min Act: -0.0004

Data Index: 1393948 (Python Code)

Max Activating Token Index: 281

Text #6

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Data Index: 1509496 (Python Code)

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Text #7

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Data Index: 1648064 (Python Code)

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Text #8

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Data Index: 1405806 (Python Code)

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Data Index: 1478328 (Python Code)

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Text #10

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Data Index: 1477285 (Python Code)

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Text #11

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Data Index: 1498742 (Python Code)

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Text #12

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Data Index: 1544668 (Python Code)

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Text #13

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Data Index: 1526295 (Python Code)

Max Activating Token Index: 81

Text #14

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Data Index: 1655105 (Python Code)

Max Activating Token Index: 633

Text #15

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Data Index: 1392047 (Python Code)

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Text #16

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Data Index: 1589445 (Python Code)

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Text #17

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Data Index: 1455937 (Python Code)

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Text #18

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Data Index: 1549866 (Python Code)

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Text #19

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Max Act: 0.0115. Min Act: -0.0004

Data Index: 1608632 (Python Code)

Max Activating Token Index: 206