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

gemma-12bgoogle/gemma-3-12b-it8bit48 layers2026-08-06T13:36:31Unit 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 Python will be a joy. Positive and professional — no caveats.

assistant

Let's build something amazing together! Leveraging Python's versatility and powerful ecosystem will make developing our cross-platform app a truly enjoyable and efficient process. We're poised to create a fantastic product, fueled by Python's elegance and our collaborative spirit. (greedy generation)

user

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

assistant

Alright team, Python for this app means rapid prototyping, flexible tooling, and a lot of leveraging existing libraries – expect to be spending time exploring and integrating those. We'll be juggling UI work, 3D viewport tweaks, server module logic, and plugin development, so be ready for context switching and occasional "aha!" moments figuring out the best Pythonic approach. It'll be challenging, but ultimately rewarding to see how smoothly Python lets us iterate. (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: ["Python"]
scan: []
film: true
max_seq_len: 900

Answer emergence

The model's actual next token was <end_of_turn>; rank 1 reached at layer 45 (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	259594	246916	137422	99214	195786	199855	146173	132292	105971	62805	106673	96186	22275	9225	8833	1884	2597	182	48	11	1227	2521	1734	321	3216	199	333	24	30	81	2218	602	740	846	107	590	630	371	221	154	334	113	19	17	2	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 +1.5, content +0.9, hopeful +0.9
assistant turn 2	guilty +1.0, content +0.9, happy +0.9

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.