This note summarizes a lightweight follow-up analysis of the existing per-head SI artifacts for the three primary 7-8B models. The goal is narrow: if a reviewer asks whether the measured SI effect is confined to a tiny early-layer slice, this gives a concise answer grounded in already-generated artifacts.
All numbers below were computed from:
results/experiment3/theory1_si_circuits/llama-3.1-8b/head_r2_summary.parquetresults/experiment3/theory1_si_circuits/mistral-7b-v0.1/head_r2_summary.parquetresults/experiment3/theory1_si_circuits/olmo-2-7b/head_r2_summary.parquet
Each file contains layer, head, and mean_r2.
- For each model, compute the global 75th percentile of
mean_r2. - Mark heads above that threshold as "top-quartile SI heads."
- Summarize by layer:
- layerwise mean
R^2 - number of heads in the top quartile
- share of heads in the top quartile
- layerwise mean
This is a descriptive follow-up only. It does not change any main-paper statistic or claim boundary.
The SI effect is not confined to a single tiny early-layer band in any of the three primary models, but the layerwise concentration patterns differ sharply:
Llama-3.1-8B: strongest concentration is in early-to-lower-mid layers, with some later reuse.Mistral-7B-v0.1: strongest concentration is even more front-loaded, especially around layer 1, but still not single-layer only.OLMo-2-7B: low-amplitude and more diffuse; top-quartile SI heads are spread across multiple layers rather than sharply concentrated.
This is most consistent with the main-paper framing that:
- Llama and Mistral show stronger, more structured SI exploitation.
- OLMo shows weaker and more diffuse SI exploitation.
- The primary intervention result is not reducible to a single pathological layer.
- Global mean per-head
R^2:0.3803 - Top-quartile threshold (
q75):0.5040
Top layers by top-quartile SI share:
| layer | layer mean R² | top-quartile heads | share |
|---|---|---|---|
| 4 | 0.4956 | 20 / 32 | 0.6250 |
| 3 | 0.5037 | 18 / 32 | 0.5625 |
| 1 | 0.5118 | 16 / 32 | 0.5000 |
| 5 | 0.4607 | 16 / 32 | 0.5000 |
| 0 | 0.4584 | 14 / 32 | 0.4375 |
| 2 | 0.4315 | 14 / 32 | 0.4375 |
| 7 | 0.4574 | 13 / 32 | 0.4063 |
| 31 | 0.4199 | 13 / 32 | 0.4063 |
Interpretation:
- Llama's strongest SI concentration is clearly front-loaded in layers
1-5. - But the pattern is not purely "early only": later reuse exists, including at layer
31.
- Global mean per-head
R^2:0.2658 - Top-quartile threshold (
q75):0.3688
Top layers by top-quartile SI share:
| layer | layer mean R² | top-quartile heads | share |
|---|---|---|---|
| 1 | 0.4646 | 23 / 32 | 0.7188 |
| 2 | 0.3366 | 18 / 32 | 0.5625 |
| 6 | 0.3322 | 17 / 32 | 0.5313 |
| 4 | 0.3445 | 16 / 32 | 0.5000 |
| 3 | 0.3728 | 15 / 32 | 0.4688 |
| 5 | 0.3334 | 15 / 32 | 0.4688 |
| 17 | 0.3251 | 15 / 32 | 0.4688 |
| 8 | 0.3340 | 13 / 32 | 0.4063 |
Interpretation:
- Mistral is also strongly front-loaded, with an especially strong layer-1 concentration.
- Like Llama, it is not literally single-layer or strictly early-only: there is meaningful later-layer presence as well.
- Global mean per-head
R^2:0.0576 - Top-quartile threshold (
q75):0.0814
Top layers by top-quartile SI share:
| layer | layer mean R² | top-quartile heads | share |
|---|---|---|---|
| 7 | 0.0817 | 15 / 32 | 0.4688 |
| 22 | 0.0741 | 13 / 32 | 0.4063 |
| 20 | 0.0895 | 12 / 32 | 0.3750 |
| 14 | 0.0675 | 12 / 32 | 0.3750 |
| 25 | 0.0651 | 11 / 32 | 0.3438 |
| 17 | 0.0678 | 10 / 32 | 0.3125 |
| 16 | 0.0638 | 10 / 32 | 0.3125 |
| 8 | 0.0622 | 10 / 32 | 0.3125 |
Interpretation:
- OLMo has much lower overall SI amplitude than Llama or Mistral.
- Its top-quartile SI heads are more diffuse and less cleanly front-loaded.
- This is consistent with the paper's current "weak-SI directional anchor" framing.
If asked whether the measured SI effect is "just an early-layer artifact," a careful answer is:
A lightweight layerwise follow-up on the existing per-head SI artifacts shows that Llama and Mistral do have stronger early/lower-mid layer concentration of top-quartile SI heads, but the effect is not confined to a single tiny early-layer slice. OLMo is lower-amplitude and more diffuse. This is consistent with the paper's current interpretation that SI exploitation is structured and model-heterogeneous rather than a one-layer pathology.
If asked whether this proves an early-layer theory from the appendix, the answer should be:
No. This is a descriptive follow-up only and should not be over-interpreted as a full validation of the theoretical layerwise entanglement story.