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Model: SoLU Model: 8 Layers, 4096 Neurons per Layer

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

Neuron 657 in Layer 2

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Transformer Lens Loading: HookedTransformer.from_pretrained('solu-8l')



Text #0

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Max Act: 0.4760. Min Act: -0.0002

Data Index: 895183 (C4 (Web Text))

Max Activating Token Index: 726

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Text #1

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Max Act: 0.4095. Min Act: -0.0002

Data Index: 1079295 (C4 (Web Text))

Max Activating Token Index: 858

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Text #2

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Max Act: 0.3978. Min Act: -0.0002

Data Index: 595634 (C4 (Web Text))

Max Activating Token Index: 251

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Text #3

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Data Index: 988635 (C4 (Web Text))

Max Activating Token Index: 751

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Truncated

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Text #4

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Max Act: 0.4026. Min Act: -0.0002

Data Index: 583843 (C4 (Web Text))

Max Activating Token Index: 67

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Text #5

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Data Index: 235558 (C4 (Web Text))

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Text #6

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Data Index: 443248 (C4 (Web Text))

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Text #7

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Max Activating Token Index: 222

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Text #8

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Data Index: 198781 (C4 (Web Text))

Max Activating Token Index: 939

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Text #9

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Data Index: 349426 (C4 (Web Text))

Max Activating Token Index: 565

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Text #10

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Data Index: 1321361 (C4 (Web Text))

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Text #11

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Text #12

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Data Index: 1058046 (C4 (Web Text))

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Text #13

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Data Index: 860236 (C4 (Web Text))

Max Activating Token Index: 872

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Text #14

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Data Index: 1217906 (C4 (Web Text))

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Text #15

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Data Index: 960528 (C4 (Web Text))

Max Activating Token Index: 606

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Text #16

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Max Activating Token Index: 524

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Text #17

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Data Index: 487035 (C4 (Web Text))

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Text #18

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Data Index: 1078117 (C4 (Web Text))

Max Activating Token Index: 622

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Text #19

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Data Index: 259015 (C4 (Web Text))

Max Activating Token Index: 648

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