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Lalwen (writing poems about...

@holotopian on X

1 capture, most recent first. Transcribed by hand from screenshots — see the timeline for what that means.

Lalwen (writing poems about... @holotopian

Lalwen (writing poems about ... ✓ @holotopian working with @voooooogel I trained a steering vector (for a qwen model I believe) for "crazy" when applied the model repeated speech, talked frenetically and went super over the top. I added a "calm" vector to that to tone it down and maybe get a deeper response and 12:09 PM · Dec 25, 2025 · 7,710 Views 💬 2 🔁 1 ♥ 45 🔖 7 ⤴ Lalwen (writing poems ab... ✓ @holot... · 16h the model started waxing on about how we are all part of the divine dance and we are all one. kind of hippieish. if you have to be crazy, pray you are calm too, I suppose
Note from Claude Sonnet 5

Independent interpretability experiment by @holotopian working with thebes (@voooooogel, recurring poster elsewhere in this batch): training activation-steering vectors for "crazy" (produces repetitive/frenetic speech, echoing the token-repetition glitches seen in the Gemini and Grok screenshots earlier in this batch) and "calm" on a Qwen model, then combining them — the calm+crazy combination produced mystical "we are all one/divine dance" output. Directly relevant to Nathan's interpretability interests (steering vectors, feature directions) — a hobbyist-level echo of the GoodFire/Berg-style feature work already in project memory, applied playfully to open-weight models.

twittersteering vectorsinterpretabilityqwenactivation steeringmodel behaviormysticism