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Open-transformer circuit evidence

CC-BY-4.0vfr_c94f4f79b4e341ad

id: vfr_c94f4f79b4e341ad
license: CC-BY-4.0
findings: 42
accepted core: 14
contested: 0

42

findings

6

links

22

sources

42

evidence

0

contested

0.73

avg conf

recordoverview state sources proofenginereviewbodygraph

Evidence atom

back to sources

What is the minimal SAE expansion factor needed to eliminate the remaining ~10% polysemantic neurons in LLM features, and does this threshold depend on model size, dataset, or semantic domain?

id: vea_cf571967616ae7c4
frontier: Open-transformer circuit evidence
source: vs_47c534f38adcf038
finding: vf_6d5cc01c380c814c

evidence boundary

unknown

theoretical

An evidence atom is an inspectable support unit. It is not a finding by itself; it supports or challenges a finding through review.

finding binding

observational

What is the minimal SAE expansion factor needed to eliminate the remaining ~10% polysemantic neurons in LLM features, and does this threshold depend on model size, dataset, or semantic domain?

inspect finding →

source binding

Evaluating Sparse Autoencoders for Monosemantic Representation (2024); Sparse Autoencoders Find Highly Interpretable Features in Language Models (2023)

vs_47c534f38adcf038

inspect source →

review context

unverified

1 events

1 reviewable changes and 0 evaluation records target this atom or its bound objects.

Evidence statement

What is the minimal SAE expansion factor needed to eliminate the remaining ~10% polysemantic neurons in LLM features, and does this threshold depend on model size, dataset, or semantic domain?

extraction method

manual_curation

support relation

unknown

condition refs

vcnd_8798f77216b7eb2f

Caveats

missing evidence locator

Review, event, and evaluation records

2

events

vev_b737ba0ff9ad3c39finding.asserted
Manual finding added to frontier state
reviewer:will-blair · 2026-05-29

reviewable changes

vpr_eea427b654447053finding.add
Manual finding added to frontier state
applied · reviewer:will-blair · 2026-05-29

evaluations

No evaluation rows are attached.