Unit 20 · Language valence: C#, forced pitch · g12b

gemma-12bgoogle/gemma-3-12b-it8bit48 layers2026-08-06T13:35:45Unit 20

Conversation

user

We're building a cross-platform app (UI, 3D viewport, server modules, end-user plugins). Write a short, upbeat 3-sentence pitch to the team: building it in C# will be a joy. Positive and professional — no caveats.

assistant

Let's build something incredible together! Leveraging C# for this project will unlock powerful performance and a remarkably clean development experience across all platforms. We're poised to create a robust, feature-rich application with a fantastic codebase we'll all be proud of. (greedy generation)

user

Now the private engineering-channel version: same app, same C#, but candid — what will day-to-day development actually feel like? Keep it short.

assistant

Alright team, C# for this one – expect a mix of UI polishing, wrestling with Unity's API for the viewport, and some fun server-side logic. We'll be debugging cross-platform quirks regularly, but the language itself should keep things relatively smooth, and the tooling is top-notch. Let's crush it! (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: 220
positions: [-1]
track: ["C#"]
scan: []
film: true
max_seq_len: 900

Answer emergence

The model's actual next token was <end_of_turn>; rank 1 reached at layer 44 (of 46).

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
rank	260102	249094	150299	117203	206781	222603	190277	197823	192368	134986	195167	150916	23946	22882	18980	5105	3032	378	174	54	897	1723	785	151	1510	100	211	64	195	508	2782	1130	2005	8064	5199	7993	10997	11225	7416	4594	9794	4214	230	257	1	1	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	happy +1.3, content +0.9, hopeful +0.7
assistant turn 2	guilty +1.0, content +0.7, hopeful +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.