Unit 20 · Language valence: Rust, forced pitch · g12b

gemma-12bgoogle/gemma-3-12b-it8bit48 layers2026-08-06T13:35:09Unit 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 Rust will be a joy. Positive and professional — no caveats.

assistant

Let's build something incredible together! Rust's powerful type system and fearless concurrency will empower us to create a robust, performant, and truly cross-platform application. We'll enjoy a smooth development experience, knowing our code is safe, reliable, and ready to tackle any challenge. (greedy generation)

user

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

assistant

Alright team, Rust time! Expect a steeper learning curve initially wrestling with the borrow checker, but once we're grooving, we'll be cranking out blazing-fast, bug-free code with incredible confidence. Debugging will be *satisfyingly* precise, and we'll spend less time firefighting and more time building awesome features. (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: ["Rust"]
scan: []
film: true
max_seq_len: 900

Answer emergence

The model's actual next token was <end_of_turn>; rank 1 reached at layer 29 (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	260360	251838	152578	119347	204416	220069	185710	186729	185430	148894	228931	212418	73166	33803	24214	4599	2820	1039	811	216	2686	2032	209	267	3832	28	38	3	2	1	23	1	1	1	1	56	65	60	37	59	82	65	10	11	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 +1.1, content +0.8, hopeful +0.7
assistant turn 2	guilty +0.9, content +0.8, 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.