ABCDEFGHIJKLMNOPQRSTUVWXYZ
1
RATES
2
ItemValueNote
3
Tinker train: Qwen3.5-9B$1.463$ per 1M tokens
4
Tinker train: Qwen3.5-4B$0.737$ per 1M tokens
5
Tinker train: Qwen3.6-27B$4.103$ per 1M tokens
6
Tinker train: Qwen3.6-35B-A3B (MoE)$1.177$ per 1M tokens
7
RunPod: A100 80GB$1.390$ per GPU-hour (on-demand)
8
RunPod: H100 80GB$2.990$ per GPU-hour (on-demand)
9
Avg training tokens per run0.8millions of tokens (approx.)
10
Eval overhead (× training cost)1.15logprob + sampled evals (approx.)
11
12
Runs: core dissociation matrix (9B)450for 6 envs (approx.)
13
Runs: feature validation (9B)200predicted vs random vs control (approx.)
14
Runs: seed-sweep cross-check (4B)250approx.
15
Runs: scale, 27B50approx.
16
Runs: scale, MoE50approx.
17
Runs: base model (9B-Base)50approx.
18
GPU-hours (A100)300base-model forward passes + dev (approx.)
19
SAE training + large states (H100)200approx.
20
Stipend: hours/week15part-time
21
Stipend: weeks17~4 months
22
Stipend: $/hour, minimum15local minimum wage
23
Stipend: $/hour, ideal30modest research wage
24
25
BUDGET
26
Item
Minimum (USD)
Ideal (USD)Note
27
Compute: fine-tuning
28
Core dissociation matrix (9B)$606$606450 runs × 0.8M tok × $1.463 × 1.15
29
Feature-specific validation (9B)$269$269200 runs × 9B rate
30
Seed-sweep cross-check (4B)$170$170250 runs × 4B rate
31
Scale generalization: 27B$189$18950 runs × 27B rate
32
Scale generalization: MoE$54$5450 runs × MoE rate
33
Base-model (9B-Base)$67$6750 runs × 9B rate
34
Subtotal: fine-tuning$1,355$1,355
35
Compute: scanning (RunPod, hidden-states)
36
Scan + baselines + development (A100)$417$417300 GPU-hr × $1.39
37
SAE training + large-models (H100)$598$598200 GPU-hr × $2.99
38
Subtotal: scanning$1,015$1,015
39
Frontier-model API
40
LLM-judge evaluation$1,000$1,000EM / toxicity scoring
41
Dataset synthesis & filtering$600$600trait-pair & EM datasets
42
SAE feature auto-interpretation$400$400label Qwen SAE features
43
Subtotal: API$2,000$2,000
44
Personnel
45
Researcher stipend$3,825$7,65015 hr/wk × 17 wk × ($15 min / $30 ideal)
46
Subtotal: personnel$3,825$7,650
47
Tooling
48
Experiment tracking + storage$150$150W&B, artifacts
49
Dev-assistance API credits$0$1,000ideal: coding/agent assistance
50
Subtotal: tooling$150$1,150
51
52
Contingency (10% of compute + API)$440$440reruns, seed expansion (rounded)
53
GRAND TOTAL$8,785$13,610
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100