Model: SoLU Model: 4 Layers, 2048 Neurons per Layer

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

Neuron 306 in Layer 0

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-4l')

Text #0

Max Range: 0.0134. Min Range: -0.0134

Max Act: 0.0132. Min Act: -0.0005

Data Index: 1401297 (Python Code)

Max Activating Token Index: 987

Text #1

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Max Act: 0.0134. Min Act: -0.0005

Data Index: 1641597 (Python Code)

Max Activating Token Index: 712

Text #2

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Max Act: 0.0133. Min Act: -0.0005

Data Index: 1449334 (Python Code)

Max Activating Token Index: 795

Text #3

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Max Act: 0.0130. Min Act: -0.0005

Data Index: 1408734 (Python Code)

Max Activating Token Index: 369

Text #4

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Max Act: 0.0125. Min Act: -0.0005

Data Index: 1405028 (Python Code)

Max Activating Token Index: 899

Text #5

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Max Act: 0.0124. Min Act: -0.0005

Data Index: 1376077 (Python Code)

Max Activating Token Index: 600

Text #6

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Data Index: 313231 (C4 (Web Text))

Max Activating Token Index: 560

Text #7

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Data Index: 606240 (C4 (Web Text))

Max Activating Token Index: 706

Text #8

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Data Index: 1274983 (C4 (Web Text))

Max Activating Token Index: 749

Text #9

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Data Index: 1399128 (Python Code)

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Text #10

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Data Index: 1589434 (Python Code)

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Text #11

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Data Index: 1543957 (Python Code)

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Text #12

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Data Index: 1362242 (Python Code)

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Text #13

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Data Index: 1504457 (Python Code)

Max Activating Token Index: 196

Text #14

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Data Index: 1468765 (Python Code)

Max Activating Token Index: 818

Text #15

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Data Index: 112919 (C4 (Web Text))

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Text #16

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Data Index: 1627207 (Python Code)

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Text #17

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Data Index: 449593 (C4 (Web Text))

Max Activating Token Index: 56

Text #18

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Data Index: 173190 (C4 (Web Text))

Max Activating Token Index: 515

Text #19

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Max Act: 0.0118. Min Act: -0.0005

Data Index: 19746 (C4 (Web Text))

Max Activating Token Index: 632