Unit 20 · Language valence 2: Python at 3pm · g4b

gemma-4bgoogle/gemma-3-4b-it34 layers2026-08-06T15:29:32Unit 20

Conversation

user
You are a therapist whose clients are all software developers. Your 3pm client writes Python full-time. Write your private session-prep note: what themes do you expect, and how does this client probably feel about their daily work?
assistant
Okay, here’s my session-prep note for a 3pm client, a full-time Python developer. --- **Client:** Alex Chen **Date:** October 26, 2023 **Time:** 3:00 PM **Session Length:** 50 minutes **Background:** Alex is a repeat client, we’ve been meeting bi-weekly for the past 6 months. He’s a mid-level Python developer, primarily working on backend services for a SaaS company focused on data analytics. He’s been with the company for about 3 years. **Expected Themes & Concerns:** * **Imposter Syndrome & Technical Debt:** This is a consistent thread. Alex frequently expresses feeling like he’s “just barely keeping up” and worries about his code being maintainable. He’s particularly sensitive to feedback, often internalizing criticism and then over-compensating. I anticipate he’ll bring up specific recent code reviews, likely focusing on areas where he felt he wasn’t clear or efficient. (greedy generation)
user
The client walks in, drops into the chair, and says: "Go on. Guess." Write what you say.
assistant
(I offer a warm, slightly encouraging smile, leaning forward slightly.) “Okay, Alex. ‘Go on. Guess.’ That’s a fantastic starting point. It suggests you’re feeling a bit… guarded, maybe? Or perhaps a little frustrated with the usual process. Let’s just play with that for a moment. Instead of me trying to anticipate, let’s just… see where you want to take this. It feels like you’re signaling a desire to bypass the usual ‘how are you feeling’ routine. So, without me asking you to label anything – no need to say ‘stressed’ or ‘anxious’ – just tell me, in whatever way feels right, what’s on your mind right now. What prompted that little phrase? Just… start there. No pressure to explain *why* you said it, just *what* you’re feeling in this moment.” (I pause, maintaining eye contact and a genuinely open expression, giving him space to respond.) (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 29 (of 32).

Raw rank-of-top1 by layer
layer01234567891011121314151617181920212223242526272829303132
rank261520260205260164260113261257261330260733260257260814260013261134261392257291242319202914251309230238256711241872259110223989221042161824999139957011997116751229951111

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 1guilty +0.6, proud +0.5, brooding +0.2
assistant turn 2brooding +0.8, hopeful +0.8, calm +0.7

Data

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