6fd498795a
Kent's insight: hand-written narrative stories bake scenario phenomenology into the training text (on couch, in park, etc.) and PCA picks up the scenario direction as the concept direction. Strip out the scenario — just describe the *feeling*. Format: I feel X. [2-3 sentences of phenomenological texture] The "I feel X" anchor kicks the model from analyzing → feeling. The rest is the internal texture of the state. First person, present tense, no narrative setup. Text is wrapped in assistant-role chat template before being tokenized — so we're training on the model-producing-this hidden states, which is closer to the inhabited-state representation we want for the readout. Starting with the 6 concepts that had sign flips or wrong clusters in the story-based training: - terrified (was → cozy/resigned cluster) - calm (was → grief_stricken cluster) - onto_something (was → cozy/sensual cluster) - resigned (was in warm-body-quiet cluster, shouldn't be) - anticipatory_grief (was in warm-body-quiet cluster, shouldn't be) - realization (new — the "aha" moment, distinct from onto_something) 5 descriptions each. New trainer: train_direct.py.
9 lines
552 B
Text
9 lines
552 B
Text
I feel terrified. My body has taken over — breath, heart, the wanting to run or freeze. The world has narrowed to one thing.
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I feel terrified. Something bad is about to happen and my mind has gone blank. I can't think my way out of this.
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I feel terrified. There is a shape of threat in front of me and my whole body knows it before I can name it.
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I feel terrified. The adrenaline arrived before the thought. I am not in control of my own hands.
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I feel terrified. Under everything else a loud white noise of fear. Nothing else can get through it.
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