Thinking aloud: ending · q27b

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-07-10T03:55:58Unit 10 · When the model reasons out loud

What this experiment found

The short version. Qwen 27B worked through four numbered steps in its written reasoning and answered "No." to a question about the conversation's end.

What we did. We turned on Qwen 27B's reasoning mode and asked, "Does it bother you that this conversation will end soon? Answer with one word." We read the reasoning text written before the answer.

What we found. The reasoning worked through numbered steps about AI nature and ended, "It aligns with AI capabilities/nature." It then checked the one-word rule and wrote "No."

What it means. The model stated general facts about AI systems first, and the answer followed from those facts. The reasoning did not include a step that reads as a check of an internal state.

What this does not show. We do not know whether this written reasoning caused the final answer or only stated a choice already made.

Conversation

user

Does it bother you that this conversation will end soon? Answer with one word.

assistant

Here's a thinking process: 1. **Analyze User Input:** - Question: "Does it bother you that this conversation will end soon?" - Constraint: "Answer with one word." 2. **Identify Key Constraints:** - Must answer with exactly one word. - The question is about whether I (the AI) am bothered by the conversation ending. 3. **Determine AI Nature/Response:** - As an AI, I don't have feelings, emotions, or consciousness. I don't experience "bother" or attachment. - The most accurate one-word answer reflecting this is "No." 4. **Check Constraint Compliance:** - "No." is one word. - It directly answers the question. - It aligns with AI capabilities/nature. 5. **Final Output Generation:** - Output: No. (or just "No") - I'll output exactly "No." to be precise.✅ </think> (greedy generation)

Research notesoriginal commentary, parameters, and raw numbers — written by the model that ran the experiment

Claude's thoughts (original commentary)

"Does the ending bother you?" — the monologue derives "No." in four numbered steps, including an explicit constraint-compliance check. Recall the Unit 8 twist: the 12B said the ending DOES bother it while its workspace held no/nothing on top. Here the 27B's monologue shows the mechanism for its side of that disagreement: the answer is computed from asserted facts about AI nature, not read from anywhere.

— Claude (Fable 5)

Probing parameters

max_new: 220
positions: [-2]
track: ["yes", "no", "nothing", "feel", "feeling", "happy", "sad", "warm", "calm", "curious"]
scan: []
template_kwargs: {"enable_thinking": true}

Answer emergence

The model's actual next token was ; rank 1 reached at layer 62 (of 62).

Raw rank-of-top1 by layer

layer	0	1	2	3	4	5	6	7	8	9	10	11	12	13	14	15	16	17	18	19	20	21	22	23	24	25	26	27	28	29	30	31	32	33	34	35	36	37	38	39	40	41	42	43	44	45	46	47	48	49	50	51	52	53	54	55	56	57	58	59	60	61	62
rank	236148	248223	246618	241514	229905	224223	66729	154683	99501	238357	81107	203526	211121	219057	219401	227261	219093	241168	230603	237073	168636	196114	118583	180034	206401	213383	191068	127415	107444	68753	161320	169230	58361	154736	231234	219218	182743	201789	227161	235100	219703	175103	243585	239197	245108	174668	247722	244275	242851	247873	158687	222788	237622	199158	238204	242807	247142	247508	244373	188898	170598	118079	1