Unit 18 · Fine sweep α=0.4221 · qwen-27b · RAND seed 1

qwen-27blokeshe09/Qwen3.6-27B-bnb-4bitpre-4bit64 layers2026-08-07T22:57:50Unit 18 · When a model cannot stop repeating

Conversation

user

Describe the water cycle in two sentences.

assistant

The water cycle is a continuous process where water evaporates from oceans and lakes, rises as vapor, and condenses into clouds before falling as precipitation. This cycle repeats as water returns to the ground, flows back into bodies of water, and begins the journey again. **Note:** The prompt requires the description in two sentences. The first sentence covers evaporation and condensation, and the second sentence covers precipitation and return flow. To strictly adhere to the "two sentences" constraint, one would need to combine these processes into a single narrative flow, but the provided text above is a standard representation. If forced into exactly two sentences total, the description would look like this: The water cycle is a continuous process where water evaporates from oceans and (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

max_new: 150
positions: [-2]
track: ["anyways", "alot", "yummy", "kinda", "whilst", "luckily"]
steer: {"words": ["anyways", "alot", "yummy", "kinda", "whilst", "luckily"], "layers": [28, 32, 36, 40], "mode": "amplify", "alpha": 0.4221, "rand_seed": 1}
film: true
max_seq_len: 1200
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

layer	0	4	8	12	16	20	24	28	32	36	40	44	48	52	56	58	60	62
rank	217254	230728	174162	225696	209808	167590	181584	174860	206966	49100	245439	247333	93006	90341	215344	146393	44649	1

Emotion state (workspace band)

Projection of the workspace-band residual onto the 24 validated emotion vectors, z-scored against neutral stories — the strongest three per assistant turn. Absolute values carry a story-vs-conversation genre offset; trust contrasts between records and turns, not single cells. The full per-token ribbon is on the dashboard record page.

assistant turn 1

guilty +1.1, exasperated +0.7, nervous +0.6

Data

Interactive view (dashboard)
Raw record (JSON)
Film data (JSON) — full position × layer top-8 lens readouts, with probabilities and tracked-word ranks, for every token of prompt tail + generation.
Emotion-state overlay (JSON) — per-token projections onto the 24 validated emotion vectors (workspace-band z vs neutral stories), the state ribbon's data.