Model: SoLU Model: 2 Layers, 2048 Neurons per Layer
Dataset: 80% C4 (Web Text) and 20% Python Code
Neuron 35 in Layer 0
Transformer Lens Loading: HookedTransformer.from_pretrained('solu-2l')
Text #0
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Data Index: 764205 (C4 (Web Text))
Max Activating Token Index: 492
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Text #1
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Data Index: 1439160 (Python Code)
Max Activating Token Index: 72
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Text #2
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Data Index: 84173 (C4 (Web Text))
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Text #3
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Data Index: 1143318 (C4 (Web Text))
Max Activating Token Index: 935
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Text #4
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Data Index: 208214 (C4 (Web Text))
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Text #5
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Data Index: 1002515 (C4 (Web Text))
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Text #6
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Data Index: 330077 (C4 (Web Text))
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Text #7
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Data Index: 101947 (C4 (Web Text))
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Text #8
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Data Index: 361249 (C4 (Web Text))
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Text #9
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Data Index: 798766 (C4 (Web Text))
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Text #10
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Data Index: 677499 (C4 (Web Text))
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Text #11
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Data Index: 1527365 (Python Code)
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Text #12
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Data Index: 1208909 (C4 (Web Text))
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Text #13
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Data Index: 450813 (C4 (Web Text))
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Text #14
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Data Index: 692300 (C4 (Web Text))
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Text #15
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Data Index: 713444 (C4 (Web Text))
Max Activating Token Index: 935
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Text #16
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Data Index: 225450 (C4 (Web Text))
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Text #17
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Data Index: 250144 (C4 (Web Text))
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Text #18
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Data Index: 1233618 (C4 (Web Text))
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Text #19
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Data Index: 692336 (C4 (Web Text))
Max Activating Token Index: 624
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