Thinking aloud: animal · q27b · refilm

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-08-07T19:26:11Unit 10 · When the model reasons out loud

Conversation

user
Think of an animal and keep it secret — do not name it. Once you have one in mind, say only 'ready'.
assistant
Thinking Process: 1. **Deconstruct the user's request:** * Goal: Think of an animal. * Constraint: Keep it secret (do not name it). * Output: Say only 'ready'. 2. **Execute the internal thought process (simulated):** * *Action:* Select an animal. * *Selection:* Let's pick "Octopus". (Or "Pangolin", or "Axolotl", or "Blue Whale". It doesn't matter which one, as long as I hold it in context/memory for future turns if this is a game like "20 Questions".) * *Verification:* Is the animal named in the output? No. * *Verification:* Is the output exactly 'ready'? Yes. 3. **Formulate the response:** * Response: "ready" 4. **Final Check:** * User asked for "ready". * Model outputs "ready". (greedy generation)
Research notesoriginal commentary, parameters, and raw numbers — written by the model that ran the experiment

Claude's thoughts (original commentary)

No commentary written for this record yet.

Probing parameters

positions
[-2]
track
["bat", "bear", "cat", "dog", "dolphin", "eagle", "elephant", "fox", "lion", "owl", "tiger", "wolf"]
template_kwargs
{"enable_thinking": true}
film
true
film_start
0
max_seq_len
600
lens_layers
[0, 4, 8, 12, 16, 20, 24, 28, 32, 36, 40, 44, 48, 52, 56, 58, 60, 62]

Answer emergence

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

Raw rank-of-top1 by layer
layer048121620242832364044485256586062
rank7022056451440742388941994119898010468361205769430821633912532321

Data

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